#Image Generation

104개의 포스트

[논문리뷰] ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks

arXiv에 게시된 'ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Image Editing #Benchmark #Human Evaluation #Explainable AI #Multimodal Learning

2026년 3월 30일

[논문리뷰] Gen-Searcher: Reinforcing Agentic Search for Image Generation

zhengli1013이 arXiv에 게시한 'Gen-Searcher: Reinforcing Agentic Search for Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Image Generation #Multi-hop Search #Reinforcement Learning #Grounded Generation #Multimodal Agent

2026년 3월 30일

[논문리뷰] DreamLite: A Lightweight On-Device Unified Model for Image Generation and Editing

arXiv에 게시된 'DreamLite: A Lightweight On-Device Unified Model for Image Generation and Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #On-device AI #Image Generation #Image Editing #Unified Architecture #Task-progressive Pretraining

2026년 3월 30일

[논문리뷰] Representation Alignment for Just Image Transformers is not Easier than You Think

arXiv에 게시된 'Representation Alignment for Just Image Transformers is not Easier than You Think' 논문에 대한 자세한 리뷰입니다.

#Review #Representation Alignment #Pixel-space Diffusion #Just Image Transformers #Feature Hacking #Masked Transformer Adapter #Diffusion Models #Image Generation

2026년 3월 26일

[논문리뷰] MultiBind: A Benchmark for Attribute Misbinding in Multi-Subject Generation

Qiang Liu이 arXiv에 게시한 'MultiBind: A Benchmark for Attribute Misbinding in Multi-Subject Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-subject Generation #Attribute Misbinding #Image Generation #Benchmark #Evaluation Protocol #Deep Learning #Computer Vision

2026년 3월 24일

[논문리뷰] WiT: Waypoint Diffusion Transformers via Trajectory Conflict Navigation

arXiv에 게시된 'WiT: Waypoint Diffusion Transformers via Trajectory Conflict Navigation' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Flow Matching #Trajectory Conflict #Diffusion Transformers #Waypoint Diffusion Transformers #Just-Pixel AdaLN

2026년 3월 17일

[논문리뷰] Trust Your Critic: Robust Reward Modeling and Reinforcement Learning for Faithful Image Editing and Generation

arXiv에 게시된 'Trust Your Critic: Robust Reward Modeling and Reinforcement Learning for Faithful Image Editing and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Reward Modeling #Image Editing #Image Generation #MLLM #Data Curation #Fidelity #Instruction Following

2026년 3월 12일

[논문리뷰] UniCom: Unified Multimodal Modeling via Compressed Continuous Semantic Representations

arXiv에 게시된 'UniCom: Unified Multimodal Modeling via Compressed Continuous Semantic Representations' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Model #Image Generation #Image Understanding #Semantic Compression #Continuous Representation #Diffusion Model #Transformer #Image Editing

2026년 3월 11일

[논문리뷰] InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing

ganlinyang이 arXiv에 게시한 'InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Models #Multimodal Large Language Model #Image Generation #Image Editing #Chain-of-Thought #Data Synthesis #Low-parameter Models

2026년 3월 10일

[논문리뷰] Making Reconstruction FID Predictive of Diffusion Generation FID

Haotian Zhang이 arXiv에 게시한 'Making Reconstruction FID Predictive of Diffusion Generation FID' 논문에 대한 자세한 리뷰입니다.

#Review #Latent Diffusion Models #VAE #FID #Generative Models #Evaluation Metrics #Image Generation #Reconstruction-Generation Dilemma #Interpolation

2026년 3월 8일

[논문리뷰] Dynamic Chunking Diffusion Transformer

arXiv에 게시된 'Dynamic Chunking Diffusion Transformer' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformer #Dynamic Chunking #Adaptive Patching #Image Generation #Computational Efficiency #Token Reduction #Spatial Segmentation #Load Balancing

2026년 3월 8일

[논문리뷰] Enhancing Spatial Understanding in Image Generation via Reward Modeling

arXiv에 게시된 'Enhancing Spatial Understanding in Image Generation via Reward Modeling' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Reward Modeling #Spatial Understanding #Reinforcement Learning #Visual Language Models #Text-to-Image #Preference Learning

2026년 3월 1일

[논문리뷰] SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models

Geonho Cha이 arXiv에 게시한 'SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Model Acceleration #Feature Caching #Spectral Analysis #Generative AI #Image Generation #Video Generation #Latency Reduction

2026년 2월 25일

[논문리뷰] Image Generation with a Sphere Encoder

arXiv에 게시된 'Image Generation with a Sphere Encoder' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Sphere Encoder #Autoencoder #Latent Space #Few-Step Generation #Conditional Generation #Diffusion Models #Perceptual Loss

2026년 2월 25일

[논문리뷰] The Diffusion Duality, Chapter II: Ψ-Samplers and Efficient Curriculum

Subham Sekhar Sahoo이 arXiv에 게시한 'The Diffusion Duality, Chapter II: Ψ-Samplers and Efficient Curriculum' 논문에 대한 자세한 리뷰입니다.

#Review #Discrete Diffusion #Ψ-Samplers #Predictor-Corrector #Language Modeling #Image Generation #Curriculum Learning #Efficient Training

2026년 2월 24일

[논문리뷰] Unified Latents (UL): How to train your latents

arXiv에 게시된 'Unified Latents (UL): How to train your latents' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Latent Representation Learning #VAE #Image Generation #Video Generation #Bitrate Control #Training Efficiency #Diffusion Prior #Diffusion Decoder

2026년 2월 19일

[논문리뷰] Visual Persuasion: What Influences Decisions of Vision-Language Models?

Nikhil Singh이 arXiv에 게시한 'Visual Persuasion: What Influences Decisions of Vision-Language Models?' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Models #Visual Persuasion #Prompt Optimization #Image Generation #AI Agent Behavior #Interpretability #Behavioral Evaluation

2026년 2월 17일

[논문리뷰] UniT: Unified Multimodal Chain-of-Thought Test-time Scaling

Animesh Sinha이 arXiv에 게시한 'UniT: Unified Multimodal Chain-of-Thought Test-time Scaling' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal AI #Chain-of-Thought #Test-time Scaling #Unified Models #Iterative Reasoning #Image Generation #Visual Reasoning #Self-Correction

2026년 2월 17일

[논문리뷰] UniWeTok: An Unified Binary Tokenizer with Codebook Size 2^{128} for Unified Multimodal Large Language Model

arXiv에 게시된 'UniWeTok: An Unified Binary Tokenizer with Codebook Size 2^{128} for Unified Multimodal Large Language Model' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLM #Visual Tokenizer #Binary Codebook #Image Generation #Semantic Extraction #Pre-Post Distillation #Hybrid Architecture

2026년 2월 16일

[논문리뷰] BitDance: Scaling Autoregressive Generative Models with Binary Tokens

Xuefeng Hu이 arXiv에 게시한 'BitDance: Scaling Autoregressive Generative Models with Binary Tokens' 논문에 대한 자세한 리뷰입니다.

#Review #Autoregressive Models #Binary Tokens #Diffusion Head #Image Generation #Tokenizer #Parallel Prediction #High-Resolution

2026년 2월 16일

[논문리뷰] DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing

arXiv에 게시된 'DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Model #Image Generation #Image Editing #Diffusion Models #VLM-DiT Architecture #Stacked Channel Bridging #Reinforcement Learning #Lightweight Models

2026년 2월 12일

[논문리뷰] Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss

arXiv에 게시된 'Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss' 논문에 대한 자세한 리뷰입니다.

#Review #Autoregressive Models #Diffusion Models #Image Generation #Condition Refinement #Optimal Transport #Wasserstein Gradient Flow #Score Matching #Patch Denoising

2026년 2월 10일

[논문리뷰] PlanViz: Evaluating Planning-Oriented Image Generation and Editing for Computer-Use Tasks

Zhixin Wang이 arXiv에 게시한 'PlanViz: Evaluating Planning-Oriented Image Generation and Editing for Computer-Use Tasks' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Models #Image Generation #Image Editing #Benchmark #Computer-Use Tasks #Planning #Evaluation Metrics

2026년 2월 8일

[논문리뷰] Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis

arXiv에 게시된 'Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Model Distillation #Mode Collapse #Image Generation #Diversity Preservation #Flow Matching #Few-Step Synthesis

2026년 2월 3일

[논문리뷰] Balancing Understanding and Generation in Discrete Diffusion Models

Jianbin Jiao이 arXiv에 게시한 'Balancing Understanding and Generation in Discrete Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Discrete Diffusion Models #Language Modeling #Image Generation #Masked Diffusion #Uniform Noise #XDLM #Stationary Noise Kernel #Pareto Frontier

2026년 2월 3일

[논문리뷰] UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing

Size Wu이 arXiv에 게시한 'UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Image Generation #Image Editing #World Knowledge #Self-Reflection #Unified Framework #Text-to-Image

2026년 2월 2일

[논문리뷰] PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss

arXiv에 게시된 'PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss' 논문에 대한 자세한 리뷰입니다.

#Review #Pixel Diffusion #Perceptual Loss #Latent Diffusion #Image Generation #LPIPS #DINOv2 #x-prediction #End-to-End Generation

2026년 2월 2일

[논문리뷰] PaperBanana: Automating Academic Illustration for AI Scientists

arXiv에 게시된 'PaperBanana: Automating Academic Illustration for AI Scientists' 논문에 대한 자세한 리뷰입니다.

#Review #Automated Illustration Generation #Agentic Framework #Vision-Language Model #Image Generation #Methodology Diagrams #Statistical Plots #Academic Publishing #Iterative Refinement

2026년 2월 1일

[논문리뷰] DINO-SAE: DINO Spherical Autoencoder for High-Fidelity Image Reconstruction and Generation

Jong Chul Ye이 arXiv에 게시한 'DINO-SAE: DINO Spherical Autoencoder for High-Fidelity Image Reconstruction and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Autoencoder #DINO #Vision Foundation Models #Image Generation #Image Reconstruction #Spherical Manifold #Diffusion Models #Flow Matching

2026년 2월 1일

[논문리뷰] iFSQ: Improving FSQ for Image Generation with 1 Line of Code

arXiv에 게시된 'iFSQ: Improving FSQ for Image Generation with 1 Line of Code' 논문에 대한 자세한 리뷰입니다.

#Review #Finite Scalar Quantization (FSQ)#Image Generation #Autoregressive Models #Diffusion Models #Quantization #Tokenization #Representation Alignment (REPA)#Latent Space

2026년 1월 26일

[논문리뷰] AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation

arXiv에 게시된 'AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Autoregressive Models #Multimodal AI #Any-to-Any Generation #Unified Model #Speech Generation #Image Generation #Transformer Decoder #Real-time Streaming

2026년 1월 26일

[논문리뷰] OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation

arXiv에 게시된 'OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Visual Encoder #Image Understanding #Image Generation #VAE #Vision Transformer #Multimodal Learning #Reconstruction #Contrastive Learning

2026년 1월 22일

[논문리뷰] UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation

arXiv에 게시된 'UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Chest X-Ray #Medical Foundation Model #Autoregressive Model #Diffusion Model #Multimodal Learning #Image Understanding #Image Generation #Cross-Modal Attention

2026년 1월 20일

[논문리뷰] MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head

arXiv에 게시된 'MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head' 논문에 대한 자세한 리뷰입니다.

#Review #Linear Attention #Multi-Head Attention #Transformer #Global Context Collapse #Representational Diversity #Image Generation #NLP #Video Generation

2026년 1월 12일

[논문리뷰] Boosting Latent Diffusion Models via Disentangled Representation Alignment

arXiv에 게시된 'Boosting Latent Diffusion Models via Disentangled Representation Alignment' 논문에 대한 자세한 리뷰입니다.

#Review #Latent Diffusion Models #Variational Autoencoders #Disentangled Representations #Vision Foundation Models #Representation Alignment #Image Generation #Semantic Disentanglement

2026년 1월 12일

[논문리뷰] E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models

arXiv에 게시된 'E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Flow Models #Entropy-aware Sampling #Group Relative Policy Optimization #SDE #Human Preference Alignment #Image Generation

2026년 1월 7일

[논문리뷰] NextFlow: Unified Sequential Modeling Activates Multimodal Understanding and Generation

arXiv에 게시된 'NextFlow: Unified Sequential Modeling Activates Multimodal Understanding and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal AI #Decoder-only Transformer #Next-scale Prediction #Image Generation #Image Editing #Reinforcement Learning #Unified Modeling #TokenFlow

2026년 1월 5일

[논문리뷰] Guiding a Diffusion Transformer with the Internal Dynamics of Itself

arXiv에 게시된 'Guiding a Diffusion Transformer with the Internal Dynamics of Itself' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Transformer #Generative AI #Image Generation #Guidance Strategy #Internal Guidance #Auxiliary Loss #Classifier-Free Guidance

2025년 12월 31일

[논문리뷰] DreamOmni3: Scribble-based Editing and Generation

arXiv에 게시된 'DreamOmni3: Scribble-based Editing and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Image Generation #Scribble-based Control #Multimodal AI #Diffusion Models #Data Synthesis #Human-Computer Interaction #Instruction-based Editing

2025년 12월 30일

[논문리뷰] StageVAR: Stage-Aware Acceleration for Visual Autoregressive Models

arXiv에 게시된 'StageVAR: Stage-Aware Acceleration for Visual Autoregressive Models' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Autoregressive Models #Image Generation #Model Acceleration #Low-Rank Approximation #Semantic Irrelevance #Stage-Aware Optimization #Text-to-Image Synthesis

2025년 12월 21일

[논문리뷰] REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion

Giorgos Sfikas이 arXiv에 게시한 'REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion' 논문에 대한 자세한 리뷰입니다.

#Review #Latent Diffusion Models #Vision Foundation Models #Semantic Compression #Global-Local Semantics #Image Generation #Representation Entanglement #Transformer Architecture

2025년 12월 18일

[논문리뷰] Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models

arXiv에 게시된 'Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Discrete Diffusion Models #Multimodal Models #Sparse Parameterization #KV Caching #Token Truncation #Image Generation #Image Editing #Visual Reasoning

2025년 12월 16일

[논문리뷰] A4-Agent: An Agentic Framework for Zero-Shot Affordance Reasoning

Hongfei Zhang이 arXiv에 게시한 'A4-Agent: An Agentic Framework for Zero-Shot Affordance Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Affordance Prediction #Zero-Shot Learning #Agentic AI #Foundation Models #Multimodal Reasoning #Visual Grounding #Image Generation #Robotics

2025년 12월 16일

[논문리뷰] Image Diffusion Preview with Consistency Solver

arXiv에 게시된 'Image Diffusion Preview with Consistency Solver' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Efficient Sampling #Reinforcement Learning #ODE Solvers #Image Generation #Consistency #Diffusion Preview

2025년 12월 15일

[논문리뷰] Exploring MLLM-Diffusion Information Transfer with MetaCanvas

arXiv에 게시된 'Exploring MLLM-Diffusion Information Transfer with MetaCanvas' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Large Language Models (MLLMs)#Diffusion Models #Image Generation #Video Generation #Image Editing #Video Editing #Latent Space Planning #Canvas Tokens #Information Transfer

2025년 12월 14일

[논문리뷰] VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstruction

arXiv에 게시된 'VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstruction' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Learning #Vector Quantization #Autoencoder #Unified Tokenizer #Image Generation #Image Reconstruction #Vision Transformers #Semantic Features

2025년 12월 11일

[논문리뷰] Rethinking Training Dynamics in Scale-wise Autoregressive Generation

arXiv에 게시된 'Rethinking Training Dynamics in Scale-wise Autoregressive Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Autoregressive Generation #Visual Synthesis #Exposure Bias #Student Forcing #Self-Autoregressive Refinement #Scale-wise Prediction #Image Generation

2025년 12월 8일

[논문리뷰] LongCat-Image Technical Report

arXiv에 게시된 'LongCat-Image Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Text-to-Image #Image Editing #Diffusion Model #Multilingual Text Rendering #Photorealism #Efficiency #Open-Source

2025년 12월 8일

[논문리뷰] Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion

arXiv에 게시된 'Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion' 논문에 대한 자세한 리뷰입니다.

#Review #Latent Diffusion Models #Asynchronous Denoising #Semantic Modeling #Texture Modeling #Image Generation #Vision Transformer #VAE #Fast Convergence

2025년 12월 4일

[논문리뷰] Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment

arXiv에 게시된 'Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment' 논문에 대한 자세한 리뷰입니다.

#Review #Normalizing Flows #Representation Alignment #Generative Models #TARFlow #Image Generation #Classification #Training Acceleration #Reverse Pass

2025년 12월 3일

[논문리뷰] Glance: Accelerating Diffusion Models with 1 Sample

Linjie Li이 arXiv에 게시한 'Glance: Accelerating Diffusion Models with 1 Sample' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Acceleration #Distillation #LoRA #Few-shot Learning #Phase-aware #Image Generation #Computational Efficiency

2025년 12월 2일

[논문리뷰] The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment

arXiv에 게시된 'The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Image Editing #Diffusion Models #Consistency Correction #Attention Mechanism #Reference-Guided #Agent Framework #Data Curation

2025년 12월 1일

[논문리뷰] Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning

arXiv에 게시된 'Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Image Generation #Distillation #Reinforcement Learning #Few-Step Sampling #Timestep-Aware #Pixel-GAN #Model Efficiency

2025년 12월 1일

[논문리뷰] The Collapse of Patches

Weidong Cai이 arXiv에 게시한 'The Collapse of Patches' 논문에 대한 자세한 리뷰입니다.

#Review #Patch Collapse #Image Generation #Image Classification #Masked Image Modeling #Vision Transformers #PageRank #Uncertainty Reduction #Computational Efficiency

2025년 11월 30일

[논문리뷰] From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images

Filippos Kokkinos이 arXiv에 게시한 'From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLM #Human Cognition #Image Perception #Benchmarking #Supervised Fine-tuning #Image Generation #Aesthetics #Memorability

2025년 11월 30일

[논문리뷰] Architecture Decoupling Is Not All You Need For Unified Multimodal Model

Hongyu Li이 arXiv에 게시한 'Architecture Decoupling Is Not All You Need For Unified Multimodal Model' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Models #Architecture Decoupling #Cross-Modal Attention #Attention Interaction Alignment (AIA) Loss #Task Conflicts #Image Generation #Image Understanding

2025년 11월 30일

[논문리뷰] Adversarial Flow Models

arXiv에 게시된 'Adversarial Flow Models' 논문에 대한 자세한 리뷰입니다.

#Review #Generative Models #Adversarial Flow Models #GANs #Flow Matching #Optimal Transport #Single-step Generation #Image Generation #Transformer Architecture

2025년 11월 30일

[논문리뷰] Canvas-to-Image: Compositional Image Generation with Multimodal Controls

Kfir Aberman이 arXiv에 게시한 'Canvas-to-Image: Compositional Image Generation with Multimodal Controls' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Diffusion Models #Compositional Control #Multimodal Control #Unified Canvas #Multi-Task Learning #Personalization

2025년 11월 27일

[논문리뷰] iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation

arXiv에 게시된 'iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Video Models #Diffusion Models #Many-to-many #Unified Framework #Temporal Consistency #Image Editing #Positional Embedding

2025년 11월 25일

[논문리뷰] VQ-VA World: Towards High-Quality Visual Question-Visual Answering

Feng Li이 arXiv에 게시한 'VQ-VA World: Towards High-Quality Visual Question-Visual Answering' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Question Answering (VQA)#Image Generation #Data-centric AI #Agentic Pipeline #Multimodal Models #Web-scale Data #Benchmark #LightFusion

2025년 11월 25일

[논문리뷰] DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation

arXiv에 게시된 'DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Pixel Diffusion #Image Generation #Frequency Decoupling #Diffusion Transformer (DiT)#Flow Matching #AdaLN #Text-to-Image Synthesis

2025년 11월 24일

[논문리뷰] Diversity Has Always Been There in Your Visual Autoregressive Models

Yaxing Wang이 arXiv에 게시한 'Diversity Has Always Been There in Your Visual Autoregressive Models' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Autoregressive Models #Diversity Collapse #Generative Diversity #Soft-Suppression Regularization #Soft-Amplification Regularization #Training-Free #Image Generation #Singular Value Decomposition

2025년 11월 23일

[논문리뷰] Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation

Vladimir Arkhipkin이 arXiv에 게시한 'Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Video Generation #Diffusion Models #Flow Matching #Diffusion Transformer #NABLA #RLHF #Supervised Fine-tuning

2025년 11월 19일

[논문리뷰] One Small Step in Latent, One Giant Leap for Pixels: Fast Latent Upscale Adapter for Your Diffusion Models

Ilya Makarov이 arXiv에 게시한 'One Small Step in Latent, One Giant Leap for Pixels: Fast Latent Upscale Adapter for Your Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Latent Diffusion Models #Super-Resolution #Upscaling Adapter #Image Generation #Latent Space #Multi-scale Learning #Cross-VAE

2025년 11월 13일

[논문리뷰] Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance

Kwanyoung Kim이 arXiv에 게시한 'Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Guidance Sampling #Optimal Transport #Sinkhorn Algorithm #Self-Attention #Adversarial Perturbation #Image Generation #ControlNet

2025년 11월 12일

[논문리뷰] When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought

arXiv에 게시된 'When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal AI #Visual Reasoning #Chain-of-Thought (CoT)#Benchmark #Image Generation #MLLMs #Visual-CoT

2025년 11월 9일

[논문리뷰] Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals

arXiv에 게시된 'Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals' 논문에 대한 자세한 리뷰입니다.

#Review #Distribution Matching Distillation #Few-step Diffusion #Score Matching #Mixture-of-Experts #Generative Models #Image Generation #Video Generation #Model Distillation

2025년 11월 9일

[논문리뷰] Emu3.5: Native Multimodal Models are World Learners

arXiv에 게시된 'Emu3.5: Native Multimodal Models are World Learners' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Model #World Model #Vision-Language #Next-Token Prediction #Reinforcement Learning #Discrete Diffusion Adaptation #Image Generation #Any-to-Image

2025년 10월 31일

[논문리뷰] Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance

arXiv에 게시된 'Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance' 논문에 대한 자세한 리뷰입니다.

#Review #Mixture-of-Experts (MoE)#Diffusion Transformers (DiTs)#Routing Guidance #Semantic Specialization #Contrastive Learning #Image Generation #Flow Matching

2025년 10월 29일

[논문리뷰] Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation

Guohao Dai이 arXiv에 게시한 'Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation' 논문에 대한 자세한 리뷰입니다.

#Review #Auto-regressive Models #Image Generation #One-step Sampling #Model Distillation #Conditional Score Distillation #Flow Matching #Generative Models

2025년 10월 28일

[논문리뷰] Visual Diffusion Models are Geometric Solvers

Or Patashnik이 arXiv에 게시한 'Visual Diffusion Models are Geometric Solvers' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Geometric Problem Solving #Inscribed Square Problem #Steiner Tree Problem #Maximum Area Polygonization #Image Generation #Pixel Space

2025년 10월 27일

[논문리뷰] AlphaFlow: Understanding and Improving MeanFlow Models

arXiv에 게시된 'AlphaFlow: Understanding and Improving MeanFlow Models' 논문에 대한 자세한 리뷰입니다.

#Review #Generative Models #Flow Matching #Consistency Models #MeanFlow #Curriculum Learning #Few-Step Generation #Image Generation

2025년 10월 24일

[논문리뷰] ARGenSeg: Image Segmentation with Autoregressive Image Generation Model

arXiv에 게시된 'ARGenSeg: Image Segmentation with Autoregressive Image Generation Model' 논문에 대한 자세한 리뷰입니다.

#Review #Image Segmentation #Autoregressive Generation #Multimodal Large Language Models (MLLMs)#Visual Understanding #VQ-VAE #Multi-scale Prediction #Referring Expression Segmentation #Image Generation

2025년 10월 24일

[논문리뷰] Visual Autoregressive Models Beat Diffusion Models on Inference Time Scaling

Dim P. Papadopoulos이 arXiv에 게시한 'Visual Autoregressive Models Beat Diffusion Models on Inference Time Scaling' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Autoregressive Models #Diffusion Models #Inference Time Scaling #Beam Search #Image Generation #Text-to-Image Synthesis #Discrete Latent Space

2025년 10월 21일

[논문리뷰] Latent Diffusion Model without Variational Autoencoder

arXiv에 게시된 'Latent Diffusion Model without Variational Autoencoder' 논문에 대한 자세한 리뷰입니다.

#Review #Latent Diffusion Model #Variational Autoencoder #Self-supervised Learning #DINO Features #Generative Models #Image Generation #Training Efficiency #Unified Representation

2025년 10월 20일

[논문리뷰] BLIP3o-NEXT: Next Frontier of Native Image Generation

arXiv에 게시된 'BLIP3o-NEXT: Next Frontier of Native Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Image Editing #Autoregressive Model #Diffusion Model #Reinforcement Learning #Multimodal AI #Foundation Model #Open-source

2025년 10월 20일

[논문리뷰] UniFusion: Vision-Language Model as Unified Encoder in Image Generation

arXiv에 게시된 'UniFusion: Vision-Language Model as Unified Encoder in Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language Model #Unified Encoder #Image Generation #Diffusion Models #Multimodal Learning #Text-to-Image #Image Editing #Zero-shot Learning

2025년 10월 15일

[논문리뷰] Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training

arXiv에 게시된 'Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training' 논문에 대한 자세한 리뷰입니다.

#Review #Pixel-space Generative Models #Diffusion Models #Consistency Models #Self-supervised Pre-training #End-to-end Training #Image Generation #FID #Representation Learning

2025년 10월 15일

[논문리뷰] Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation

Linyi Jin이 arXiv에 게시한 'Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Model #Camera-Centric #Image Understanding #Image Generation #Spatial Reasoning #Camera Parameters #Instruction Tuning #Multimodal Spatial Intelligence

2025년 10월 13일

[논문리뷰] Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer

arXiv에 게시된 'Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Vision-Language Model #Continuous Tokenizer #Autoregressive Generation #Image Understanding #Image Generation #Multimodal AI #In-context Editing

2025년 10월 9일

[논문리뷰] Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

arXiv에 게시된 'Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-modal LLM #Discrete Diffusion #Image Generation #Image Understanding #Omni-modal #Interactive Retouching #Generative AI #Reinforcement Learning

2025년 10월 9일

[논문리뷰] Heptapod: Language Modeling on Visual Signals

arXiv에 게시된 'Heptapod: Language Modeling on Visual Signals' 논문에 대한 자세한 리뷰입니다.

#Review #Autoregressive Models #Image Generation #Language Modeling #Causal Transformer #2D Distribution Prediction #Visual Tokenization #Self-Supervised Learning #Generative Models

2025년 10월 9일

[논문리뷰] Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models

arXiv에 게시된 'Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models' 논문에 대한 자세한 리뷰입니다.

#Review #Generative Models #Equilibrium Dynamics #Energy-Based Models (EBMs)#Flow Matching #Diffusion Models #Optimization-Based Sampling #Image Generation

2025년 10월 8일

[논문리뷰] Factuality Matters: When Image Generation and Editing Meet Structured Visuals

Boxiang Qiu이 arXiv에 게시한 'Factuality Matters: When Image Generation and Editing Meet Structured Visuals' 논문에 대한 자세한 리뷰입니다.

#Review #Structured Visuals #Image Generation #Image Editing #Multimodal Reasoning #Factual Fidelity #Chain-of-Thought #Evaluation Benchmark #Diffusion Models

2025년 10월 7일

[논문리뷰] RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark

Yuran Wang이 arXiv에 게시한 'RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Models #Multimodal AI #Benchmark #Capability Synergy #Visual Understanding #Image Generation #Dual-Evaluation Protocol

2025년 9월 30일

[논문리뷰] OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing

Huanyu Zhang이 arXiv에 게시한 'OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Image Editing #Multimodal AI #Dataset #Instruction Following #Taxonomy #GPT-40

2025년 9월 30일

[논문리뷰] HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models

Romann M. Weber이 arXiv에 게시한 'HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Sampling #Generative AI #Image Generation #Plug-and-Play #Training-Free #Guidance #Momentum-Based Methods

2025년 9월 29일

[논문리뷰] SD3.5-Flash: Distribution-Guided Distillation of Generative Flows

Yi-Zhe Song이 arXiv에 게시한 'SD3.5-Flash: Distribution-Guided Distillation of Generative Flows' 논문에 대한 자세한 리뷰입니다.

#Review #Generative AI #Image Generation #Diffusion Models #Rectified Flow #Model Distillation #Few-Step Generation #Computational Efficiency #Prompt Alignment

2025년 9월 26일

[논문리뷰] Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation

Zhe Lin이 arXiv에 게시한 'Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal AI #Masked Diffusion Models #Image Understanding #Image Generation #Image Editing #Object Grounding #ElasticMoT #Self-reflection

2025년 9월 25일

[논문리뷰] CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching

Rui Qian이 arXiv에 게시한 'CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching' 논문에 대한 자세한 리뷰입니다.

#Review #Flow Matching #Conditional Generative Models #Reparameterization #Mode Collapse #Image Generation #Latent Space Alignment #Diffusion Models

2025년 9월 24일

[논문리뷰] DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Qinsheng Zhang이 arXiv에 게시한 'DiffusionNFT: Online Diffusion Reinforcement with Forward Process' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Reinforcement Learning #Online RL #Flow Matching #Forward Process #CFG-free #Image Generation #Negative-Aware FineTuning

2025년 9월 23일

[논문리뷰] Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Wenyu Wang이 arXiv에 게시한 'Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification' 논문에 대한 자세한 리뷰입니다.

#Review #Generative Modeling #Representation Learning #Classification #Unified Framework #Latent Space #Flow Matching #Deep Learning #Image Generation

2025년 9월 22일

[논문리뷰] Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation

Xihui Liu이 arXiv에 게시한 'Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Autoregressive Models #Image Generation #Self-Supervised Learning #Visual Understanding #Masked Image Modeling #Contrastive Learning #Next-Token Prediction #LlamaGen

2025년 9월 19일

[논문리뷰] MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks

Xijun Gu이 arXiv에 게시한 'MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks' 논문에 대한 자세한 리뷰입니다.

#Review #Instruction-based Image Editing #Dataset #Multi-modal LLM #Image Generation #Style Transfer #Multi-task Learning #Fine-tuning

2025년 9월 19일

[논문리뷰] Reconstruction Alignment Improves Unified Multimodal Models

XuDong Wang이 arXiv에 게시한 'Reconstruction Alignment Improves Unified Multimodal Models' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Models #Image Generation #Image Editing #Post-training #Self-supervised Learning #Reconstruction Alignment #Visual Embeddings

2025년 9월 10일

[논문리뷰] Transition Models: Rethinking the Generative Learning Objective

Yangguang Li이 arXiv에 게시한 'Transition Models: Rethinking the Generative Learning Objective' 논문에 대한 자세한 리뷰입니다.

#Review #Generative Models #Diffusion Models #Training Objective #Continuous-Time Dynamics #State Transition #Few-Step Generation #Scalable Training #Image Generation

2025년 9월 5일

[논문리뷰] Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation

Kai Li이 arXiv에 게시한 'Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformer #Mixture of Experts #Controllable Generation #Face Generation #Multimodal Synthesis #Semantic Control #Image Generation

2025년 9월 4일

[논문리뷰] OneReward: Unified Mask-Guided Image Generation via Multi-Task Human Preference Learning

Yitong Wang이 arXiv에 게시한 'OneReward: Unified Mask-Guided Image Generation via Multi-Task Human Preference Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Mask-Guided Editing #Reinforcement Learning #Human Preference Learning #Vision-Language Models #Multi-Task Learning #Flow Matching

2025년 8월 29일

[논문리뷰] CineScale: Free Lunch in High-Resolution Cinematic Visual Generation

Ziwei Liu이 arXiv에 게시한 'CineScale: Free Lunch in High-Resolution Cinematic Visual Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #High-Resolution Generation #Image Generation #Video Generation #UNet Architecture #DiT Architecture #Scale Fusion #LoRA Fine-tuning

2025년 8월 27일

[논문리뷰] Next Visual Granularity Generation

Kang Liao이 arXiv에 게시한 'Next Visual Granularity Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Granularity Control #Structured Representation #Hierarchical Generation #Coarse-to-fine #Visual Tokenization #Latent Space

2025년 8월 19일

[논문리뷰] Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation

Zhenghao Hu이 arXiv에 게시한 'Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Synthetic Data #Image Generation #GPT-4o #Multimodal Models #Instruction Following #Surreal Image Generation #Dataset #Benchmarking

2025년 8월 14일

[논문리뷰] Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents

Mohit Bansal이 arXiv에 게시한 'Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLM #Diffusion Model #CLIP Latent #Image Generation #Multimodal Understanding #ControlNet #Training Efficiency

2025년 8월 12일

[논문리뷰] Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation

Tianyidan Xie이 arXiv에 게시한 'Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Autoregressive Models #Multimodal AI #Image Generation #Image Editing #Visual Understanding #Unified Architecture #Parameter Efficiency

2025년 8월 6일

[논문리뷰] Qwen-Image Technical Report

Kaiyuan Gao이 arXiv에 게시한 'Qwen-Image Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Image Generation #Text-to-Image #Image Editing #Text Rendering #Multimodal Diffusion Transformer #Curriculum Learning #Reinforcement Learning #Foundation Model

2025년 8월 5일