#Image Editing

75개의 포스트

[논문리뷰] FlowSlider: Training-Free Continuous Image Editing via Fidelity-Steering Decomposition

Kazuhiko Sumi이 arXiv에 게시한 'FlowSlider: Training-Free Continuous Image Editing via Fidelity-Steering Decomposition' 논문에 대한 자세한 리뷰입니다.

#Review #Rectified Flow #Image Editing #Training-Free #Slider Control #Fidelity-Steering Decomposition

2026년 4월 2일

[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] GEditBench v2: A Human-Aligned Benchmark for General Image Editing

arXiv에 게시된 'GEditBench v2: A Human-Aligned Benchmark for General Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Benchmark #Visual Consistency #Pairwise Evaluation #Human-Aligned #VLM-as-a-Judge

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] 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] CARE-Edit: Condition-Aware Routing of Experts for Contextual Image Editing

Dan Xu이 arXiv에 게시한 'CARE-Edit: Condition-Aware Routing of Experts for Contextual Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Diffusion Models #Mixture-of-Experts (MoE)#Condition-Aware Routing #Contextual Image Editing #Mask Repaint #Latent Mixture #Diffusion Transformer

2026년 3월 9일

[논문리뷰] From Scale to Speed: Adaptive Test-Time Scaling for Image Editing

arXiv에 게시된 'From Scale to Speed: Adaptive Test-Time Scaling for Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Test-Time Scaling #Chain-of-Thought #Diffusion Models #Adaptive Resource Allocation #Edit-Specific Verification #Opportunistic Stopping

2026년 3월 2일

[논문리뷰] DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model

FengJiao Chen이 arXiv에 게시한 'DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Instruction-based Models #Small Object Editing #Benchmark #Evaluation Metrics #Large Multimodal Models (LMMs)#Visual Consistency

2026년 3월 1일

[논문리뷰] Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models

Liwei Wang이 arXiv에 게시한 'Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Models #Generative AI #Understanding #Reason-Reflect-Refine (R3)#Reinforcement Learning (RL)#Text-to-Image Generation #Optimization Dilemma #Image Editing

2026년 2월 17일

[논문리뷰] LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models

arXiv에 게시된 'LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Diffusion Models #Reasoning #Reinforcement Learning #Supervised Finetuning #Visual Question Answering #Image Editing #Object Grounding #Policy Gradient

2026년 2월 16일

[논문리뷰] FireRed-Image-Edit-1.0 Techinical Report

Cunzheng Wang이 arXiv에 게시한 'FireRed-Image-Edit-1.0 Techinical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Diffusion Transformer #Instruction-based Editing #Data Curation #Reinforcement Learning #Multimodal Models #REDEdit-Bench #Generative AI

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] Rethinking Global Text Conditioning in Diffusion Transformers

Yuchen Liu이 arXiv에 게시한 'Rethinking Global Text Conditioning in Diffusion Transformers' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformers #Text Conditioning #CLIP Embedding #Modulation Guidance #Text-to-Image Generation #Image Editing #Training-free

2026년 2월 10일

[논문리뷰] Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling

arXiv에 게시된 'Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Agentic AI #Multi-turn Interaction #High-Fidelity #Native Resolution #LLM #Context Folding #Layer Decomposition

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] 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] How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editing

Haochen Tian이 arXiv에 게시한 'How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Instruction #Image Editing #Multimodal Benchmark #LMM-as-a-judge #Deictic Grounding #Morphological Manipulation #Causal Reasoning #Generative Models

2026년 2월 2일

[논문리뷰] Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing

Dingkun Long이 arXiv에 게시한 'Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Composed Image Retrieval #Fine-Grained Evaluation #Image Editing #Benchmark #Multimodal LLM #Synthetic Data #Compositional Reasoning

2026년 1월 22일

[논문리뷰] Re-Align: Structured Reasoning-guided Alignment for In-Context Image Generation and Editing

Yu Xu이 arXiv에 게시한 'Re-Align: Structured Reasoning-guided Alignment for In-Context Image Generation and Editing' 논문에 대한 자세한 리뷰입니다.

#Review #In-Context Image Generation #Image Editing #Multimodal Models #Chain-of-Thought #Structured Reasoning #Reinforcement Learning #Alignment #Diffusion Models

2026년 1월 8일

[논문리뷰] ThinkRL-Edit: Thinking in Reinforcement Learning for Reasoning-Centric Image Editing

arXiv에 게시된 'ThinkRL-Edit: Thinking in Reinforcement Learning for Reasoning-Centric Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Image Editing #Reasoning #Chain-of-Thought #Multimodal Generative Models #Reward Modeling #VLM

2026년 1월 7일

[논문리뷰] VINO: A Unified Visual Generator with Interleaved OmniModal Context

Kun Gai이 arXiv에 게시한 'VINO: A Unified Visual Generator with Interleaved OmniModal Context' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Generation #Multimodal Diffusion #Vision-Language Model #Image Editing #Video Editing #Interleaved Context #Progressive Training #Diffusion Transformer

2026년 1월 5일

[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] 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] SpotEdit: Selective Region Editing in Diffusion Transformers

arXiv에 게시된 'SpotEdit: Selective Region Editing in Diffusion Transformers' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformer #Image Editing #Selective Editing #Computational Efficiency #Training-Free #Region-Aware #Perceptual Similarity

2025년 12월 29일

[논문리뷰] Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing

arXiv에 게시된 'Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Image Editing #Representation Encoders #Latent Diffusion Models #Variational Autoencoder (VAE)#Semantic Reconstruction #Off-manifold Latents #DINOv2

2025년 12월 21일

[논문리뷰] RePlan: Reasoning-guided Region Planning for Complex Instruction-based Image Editing

Yuqi Liu이 arXiv에 게시한 'RePlan: Reasoning-guided Region Planning for Complex Instruction-based Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Vision-Language Models #Diffusion Models #Region-aligned Guidance #Reinforcement Learning #Instruction-Visual Complexity #Attention Mechanism

2025년 12월 18일

[논문리뷰] Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image

arXiv에 게시된 'Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image' 논문에 대한 자세한 리뷰입니다.

#Review #Reward Models #Multimodal LLMs #Benchmark #Text-to-Image Generation #Image Editing #Interleaved Generation #Multimodal Reasoning #MLLM-as-a-judge

2025년 12월 18일

[논문리뷰] DeContext as Defense: Safe Image Editing in Diffusion Transformers

arXiv에 게시된 'DeContext as Defense: Safe Image Editing in Diffusion Transformers' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformers #Image Editing #Privacy Protection #Adversarial Attack #Attention Mechanism #Identity Preservation #Deepfake Defense #In-context Learning

2025년 12월 18일

[논문리뷰] Qwen-Image-Layered: Towards Inherent Editability via Layer Decomposition

Xiao Xu이 arXiv에 게시한 'Qwen-Image-Layered: Towards Inherent Editability via Layer Decomposition' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Diffusion Models #Layer Decomposition #RGBA Layers #Variational Autoencoder (VAE)#Multi-stage Training #Photoshop Documents (PSD)#Inherent Editability

2025년 12월 17일

[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] 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] 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] EditThinker: Unlocking Iterative Reasoning for Any Image Editor

Ziyu Guo이 arXiv에 게시한 'EditThinker: Unlocking Iterative Reasoning for Any Image Editor' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Iterative Reasoning #Multimodal Large Language Model (MLLM)#Reinforcement Learning (RL)#Instruction Following #Critique-Refine-Repeat Cycle #Think-while-Edit

2025년 12월 7일

[논문리뷰] WiseEdit: Benchmarking Cognition- and Creativity-Informed Image Editing

Wendong Bu이 arXiv에 게시한 'WiseEdit: Benchmarking Cognition- and Creativity-Informed Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Benchmarking #Cognitive AI #Creativity #Multimodal AI #Knowledge-based Reasoning #Diffusion Models #MLLMs

2025년 12월 1일

[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] TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models

arXiv에 게시된 'TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Models #Visual Representation #VAE #Flow Matching #Multimodal Understanding #Multimodal Generation #Image Editing #State-of-the-Art

2025년 12월 1일

[논문리뷰] Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

arXiv에 게시된 'Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformer #Efficient Training #Multi-Modal Learning #Text-to-Image Generation #Image Editing #RLHF #Photorealistic Rendering

2025년 11월 30일

[논문리뷰] Vision Bridge Transformer at Scale

Xinchao Wang이 arXiv에 게시한 'Vision Bridge Transformer at Scale' 논문에 대한 자세한 리뷰입니다.

#Review #Vision Transformer #Bridge Models #Conditional Generation #Image Editing #Video Translation #Velocity Matching #Diffusion Models #Scalability

2025년 11월 30일

[논문리뷰] REASONEDIT: Towards Reasoning-Enhanced Image Editing Models

arXiv에 게시된 'REASONEDIT: Towards Reasoning-Enhanced Image Editing Models' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Reasoning-Enhanced AI #Multimodal Large Language Models #Diffusion Transformers #Thinking #Reflection #Iterative Refinement #Instruction Following

2025년 11월 30일

[논문리뷰] MIRA: Multimodal Iterative Reasoning Agent for Image Editing

Jiebo Luo이 arXiv에 게시한 'MIRA: Multimodal Iterative Reasoning Agent for Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Multimodal AI #Iterative Reasoning #Agentic AI #Reinforcement Learning #Diffusion Models #Vision-Language Models #Instruction Following

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] DiffSeg30k: A Multi-Turn Diffusion Editing Benchmark for Localized AIGC Detection

Mike Zheng Shou이 arXiv에 게시한 'DiffSeg30k: A Multi-Turn Diffusion Editing Benchmark for Localized AIGC Detection' 논문에 대한 자세한 리뷰입니다.

#Review #AIGC Detection #Diffusion Models #Image Editing #Semantic Segmentation #Localization #Model Attribution #Benchmark #Multi-turn Editing

2025년 11월 25일

[논문리뷰] Controllable Layer Decomposition for Reversible Multi-Layer Image Generation

arXiv에 게시된 'Controllable Layer Decomposition for Reversible Multi-Layer Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Controllable Layer Decomposition #Diffusion Models #Multi-Layer Image Generation #Layer Separation #Bounding Box Guidance #Generative AI #Image Editing

2025년 11월 24일

[논문리뷰] Mixture of States: Routing Token-Level Dynamics for Multimodal Generation

arXiv에 게시된 'Mixture of States: Routing Token-Level Dynamics for Multimodal Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Diffusion #Mixture of States (MoS)#Token-Level Routing #Dynamic Conditional Fusion #Text-to-Image Generation #Image Editing #Transformer Architecture

2025년 11월 19일

[논문리뷰] SliderEdit: Continuous Image Editing with Fine-Grained Instruction Control

Ryan Rossi이 arXiv에 게시한 'SliderEdit: Continuous Image Editing with Fine-Grained Instruction Control' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Continuous Control #Fine-Grained Control #Instruction-based #Low-Rank Adaptation #Disentanglement #Generative Models

2025년 11월 13일

[논문리뷰] UniREditBench: A Unified Reasoning-based Image Editing Benchmark

arXiv에 게시된 'UniREditBench: A Unified Reasoning-based Image Editing Benchmark' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Reasoning-based AI #Benchmark #Multimodal Learning #Chain-of-Thought (CoT)#Dual-Reference Evaluation #Generative Models #Game AI

2025년 11월 9일

[논문리뷰] Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

arXiv에 게시된 'Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal AI #Sparse MoE #Unified Architecture #Perception #Generation #Contextual ASR #Image Editing #Generative Segmentation

2025년 10월 30일

[논문리뷰] Group Relative Attention Guidance for Image Editing

arXiv에 게시된 'Group Relative Attention Guidance for Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Diffusion Transformers #Attention Mechanism #Guidance Mechanism #Controllability #Fine-grained Control #GRAG

2025년 10월 29일

[논문리뷰] LightBagel: A Light-weighted, Double Fusion Framework for Unified Multimodal Understanding and Generation

Chaorui Deng이 arXiv에 게시한 'LightBagel: A Light-weighted, Double Fusion Framework for Unified Multimodal Understanding and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Models #Double Fusion #Lightweight AI #Text-to-Image Generation #Image Editing #Model Architecture #Efficient Training #Cross-modal Interaction

2025년 10월 28일

[논문리뷰] LayerComposer: Interactive Personalized T2I via Spatially-Aware Layered Canvas

arXiv에 게시된 'LayerComposer: Interactive Personalized T2I via Spatially-Aware Layered Canvas' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Personalization #Diffusion Models #Interactive Control #Multi-Subject Composition #Layered Canvas #Spatial Control #Image Editing

2025년 10월 24일

[논문리뷰] Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback

arXiv에 게시된 'Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Diffusion Models #Reinforcement Learning #MLLM #Policy Optimization #Finetuning #Reward Modeling #Human Alignment

2025년 10월 21일

[논문리뷰] PICABench: How Far Are We from Physically Realistic Image Editing?

Kaiwen Zhu이 arXiv에 게시한 'PICABench: How Far Are We from Physically Realistic Image Editing?' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Physical Realism #Benchmark #VLM-as-a-Judge #Synthetic Data #Physics-Aware AI #Diffusion Models #Evaluation Metrics

2025년 10월 21일

[논문리뷰] ConsistEdit: Highly Consistent and Precise Training-free Visual Editing

Xili Dai이 arXiv에 게시한 'ConsistEdit: Highly Consistent and Precise Training-free Visual Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Video Editing #Diffusion Transformer #Attention Control #Training-free #Multi-modal Diffusion Transformer (MM-DiT)#Consistency Preservation

2025년 10월 21일

[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] Learning an Image Editing Model without Image Editing Pairs

arXiv에 게시된 'Learning an Image Editing Model without Image Editing Pairs' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Diffusion Models #Vision-Language Models (VLMs)#No-Pair Training #Few-step Generation #Distribution Matching #Gradient-based Optimization

2025년 10월 17일

[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] InstructX: Towards Unified Visual Editing with MLLM Guidance

Xinghui Li이 arXiv에 게시한 'InstructX: Towards Unified Visual Editing with MLLM Guidance' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Editing #MLLM Guidance #Diffusion Models #Image Editing #Video Editing #Unified Framework #Multimodal AI #Instruction-based Editing

2025년 10월 10일

[논문리뷰] SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder

Or Patashnik이 arXiv에 게시한 'SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Diffusion Models #Sparse Autoencoder (SAE)#Text-to-Image #Disentangled Control #Continuous Control #Token-level Manipulation #Text Embeddings

2025년 10월 7일

[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] ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation

arXiv에 게시된 'ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Video Generation #Temporal Reasoning #World Simulation #Physical Consistency #Diffusion Models #Generative Models

2025년 10월 7일

[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] EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling

arXiv에 게시된 'EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Image Editing #Reward Modeling #Instruction-Guided Editing #Online RL #Visual Language Models #Benchmark #Self-Ensembling

2025년 9월 30일

[논문리뷰] Seedream 4.0: Toward Next-generation Multimodal Image Generation

Yunpeng Chen이 arXiv에 게시한 'Seedream 4.0: Toward Next-generation Multimodal Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Image Generation #Diffusion Transformer #VAE #Image Editing #Text-to-Image #Model Acceleration #Human Evaluation

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] Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation

Jianbin Zheng이 arXiv에 게시한 'Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal AI #Acceleration Framework #Speculative Decoding #Diffusion Distillation #Unified Models #Text-to-Image Generation #Image Editing #Computational Efficiency

2025년 9월 24일

[논문리뷰] LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence

Lionel M. Ni이 arXiv에 게시한 'LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Diffusion Models #Multi-Modal Transformers #Drag-based Editing #Explicit Correspondence #Attention Control #Identity Preservation #Training-Free

2025년 9월 16일

[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] From Editor to Dense Geometry Estimator

Lang Nie이 arXiv에 게시한 'From Editor to Dense Geometry Estimator' 논문에 대한 자세한 리뷰입니다.

#Review #Dense Geometry Estimation #Diffusion Transformer #Image Editing #Zero-shot Learning #Depth Estimation #Normal Estimation #Flow Matching #Logarithmic Quantization

2025년 9월 5일

[논문리뷰] Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing

Amin Heyrani Nobar이 arXiv에 게시한 'Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Autoregressive Models #Noise Inversion #Text-to-Image #Gumbel-max Trick #Training-free #Location-aware Argmax Inversion

2025년 9월 3일

[논문리뷰] NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Quan Sun이 arXiv에 게시한 'NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale' 논문에 대한 자세한 리뷰입니다.

#Review #Autoregressive Models #Text-to-Image Generation #Continuous Latent Tokens #Flow Matching #Image Editing #Multimodal Learning #Transformer Architecture

2025년 8월 15일

[논문리뷰] Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control

Hongyu Liu이 arXiv에 게시한 'Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Shape Transformation #Rectified Flow #Trajectory Divergence Map #Region Control #Generative Models #Diffusion Models

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