#Text-to-Image Generation

52개의 포스트

[논문리뷰] CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation

Huanyu Zhang이 arXiv에 게시한 'CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Chain-of-Thought #Code Generation #Multimodal Large Language Models #Structured Image Synthesis #Draft-Guided Refinement #Visual Reasoning

2026년 3월 9일

[논문리뷰] DREAM: Where Visual Understanding Meets Text-to-Image Generation

Satya Narayan Shukla이 arXiv에 게시한 'DREAM: Where Visual Understanding Meets Text-to-Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Learning #Visual Representation Learning #Text-to-Image Generation #Masked Autoregressive Models #Contrastive Learning #Masking Warmup #Semantically Aligned Decoding

2026년 3월 3일

[논문리뷰] CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance

arXiv에 게시된 'CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Classifier-Free Guidance #Control Theory #Sliding Mode Control #Text-to-Image Generation #Flow Matching #Generative AI #Robustness

2026년 3월 3일

[논문리뷰] LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model

arXiv에 게시된 'LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model' 논문에 대한 자세한 리뷰입니다.

#Review #Omni Diffusion Model #Multimodal AI #Length Adaptation #Mixture of Diffusion #Discrete Diffusion #Continuous Diffusion #Text-to-Image Generation

2026년 3월 2일

[논문리뷰] TextPecker: Rewarding Structural Anomaly Quantification for Enhancing Visual Text Rendering

Hao Feng이 arXiv에 게시한 'TextPecker: Rewarding Structural Anomaly Quantification for Enhancing Visual Text Rendering' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Text Rendering #Reinforcement Learning #Structural Anomaly Perception #Reward Modeling #Text-to-Image Generation #OCR #MLLMs #Data Augmentation

2026년 2월 24일

[논문리뷰] DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers

Deepti Ghadiyaram이 arXiv에 게시한 'DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformers #Dynamic Tokenization #Patch Scheduling #Inference Acceleration #Text-to-Image Generation #Text-to-Video Generation #Latent Manifold Analysis #LoRA

2026년 2월 19일

[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] 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] Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO

arXiv에 게시된 'Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Flow Matching #Text-to-Image Generation #Sparse Rewards #Credit Assignment #Turning Points #Group Relative Policy Optimization

2026년 2월 9일

[논문리뷰] DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment

arXiv에 게시된 'DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Flow Matching Models #Dense Reward #Sparse Reward Problem #Preference Alignment #SDE Sampler #GRPO #Text-to-Image Generation

2026년 2월 1일

[논문리뷰] Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders

arXiv에 게시된 'Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Diffusion Models #Representation Autoencoder #Latent Space #Large-Scale Models #Unified Models #Noise Scheduling

2026년 1월 22일

[논문리뷰] CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation

arXiv에 게시된 'CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Video Models #Visual Reasoning #Chain-of-Frame (CoF)#Progressive Refinement #Diffusion Models #CoF-Evol-Instruct

2026년 1월 15일

[논문리뷰] UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision

XinYu Sun이 arXiv에 게시한 'UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Models #Self-Supervised Learning #Text-to-Image Generation #Multi-Agent Framework #Cognitive Pattern Reconstruction #Cycle-Consistency #Conduction Aphasia

2026년 1월 6일

[논문리뷰] VAR RL Done Right: Tackling Asynchronous Policy Conflicts in Visual Autoregressive Generation

arXiv에 게시된 'VAR RL Done Right: Tackling Asynchronous Policy Conflicts in Visual Autoregressive Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Visual Autoregressive Models #Reinforcement Learning #Policy Conflicts #GRPO #Text-to-Image Generation #Credit Assignment #Multi-scale Generation

2026년 1월 5일

[논문리뷰] GARDO: Reinforcing Diffusion Models without Reward Hacking

Zhiyong Wang이 arXiv에 게시한 'GARDO: Reinforcing Diffusion Models without Reward Hacking' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Reinforcement Learning #Reward Hacking #KL Regularization #Adaptive Regularization #Diversity Optimization #Text-to-Image Generation

2026년 1월 5일

[논문리뷰] GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models

arXiv에 게시된 'GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Text Encoder #Diffusion Models #Text Embedding #Evaluation Benchmark #MLLM Fine-tuning #Layer-wise Weighting #Text-to-Image Generation #Text-to-Video Generation

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] 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] SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder

arXiv에 게시된 'SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Latent Diffusion Model #Visual Foundation Model #DINOv3 #Flow Matching #High-Resolution Synthesis #VAE-free Generation

2025년 12월 14일

[논문리뷰] RealGen: Photorealistic Text-to-Image Generation via Detector-Guided Rewards

Zilong Huang이 arXiv에 게시한 'RealGen: Photorealistic Text-to-Image Generation via Detector-Guided Rewards' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Photorealism #Reinforcement Learning #Diffusion Models #Adversarial Learning #Detector-Guided Rewards #LLM Prompt Optimization #Image Quality Assessment

2025년 12월 7일

[논문리뷰] DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation

Ziyu Guo이 arXiv에 게시한 'DraCo: Draft as CoT for Text-to-Image Preview and Rare Concept Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Chain-of-Thought (CoT)#Multimodal Large Language Models (MLLMs)#Visual Planning #Rare Concept Generation #Drafting #Classifier-Free Guidance (CFG)#Image Refinement

2025년 12월 4일

[논문리뷰] Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation

Wenhua Wu이 arXiv에 게시한 'Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Cultural Consistency #Multilingual AI #Neuron Activation #Cultural Probing #Fine-Tuning #Diffusion Models

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] Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield

arXiv에 게시된 'Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Model Distillation #Classifier-Free Guidance (CFG)#Distribution Matching #Text-to-Image Generation #Few-step Generation #Regularization #Score-based Models

2025년 11월 30일

[논문리뷰] UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios

arXiv에 게시된 'UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Diffusion Transformers #4K Resolution #Aspect Ratio Extrapolation #Data-Model Co-Design #VAE Post-training #Positional Encoding #Diffusion Models

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] Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions

arXiv에 게시된 'Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Structured Captions #LLM Fusion #Controllability #Image Generation Evaluation #Diffusion Models #DimFusion #TaBR

2025년 11월 10일

[논문리뷰] Diffusion-SDPO: Safeguarded Direct Preference Optimization for Diffusion Models

Zhao Xu이 arXiv에 게시한 'Diffusion-SDPO: Safeguarded Direct Preference Optimization for Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Direct Preference Optimization (DPO)#Safeguarded Learning #Text-to-Image Generation #Preference Alignment #Generative Models #Stable Diffusion

2025년 11월 10일

[논문리뷰] MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency

David Picard이 arXiv에 게시한 'MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Multi-Reward Learning #Flow Matching #User Preference Alignment #Training Efficiency #Compositional Reasoning #Conditional Generation

2025년 10월 31일

[논문리뷰] PairUni: Pairwise Training for Unified Multimodal Language Models

arXiv에 게시된 'PairUni: Pairwise Training for Unified Multimodal Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Vision-Language Models #Reinforcement Learning #Multimodal Alignment #Pairwise Training #Group Relative Policy Optimization #Data Augmentation #Text-to-Image Generation #Visual Reasoning

2025년 10월 30일

[논문리뷰] UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset

arXiv에 게시된 'UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset' 논문에 대한 자세한 리뷰입니다.

#Review #Ultra-High-Resolution #Text-to-Image Generation #Diffusion Models #Large-Scale Dataset #Frequency-Aware Training #Detail Enhancement #Image Synthesis

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] EchoDistill: Bidirectional Concept Distillation for One-Step Diffusion Personalization

Yaxing Wang이 arXiv에 게시한 'EchoDistill: Bidirectional Concept Distillation for One-Step Diffusion Personalization' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #One-Step Generation #Model Personalization #Knowledge Distillation #Bidirectional Learning #Text-to-Image Generation #Concept Learning

2025년 10월 28일

[논문리뷰] Sample By Step, Optimize By Chunk: Chunk-Level GRPO For Text-to-Image Generation

arXiv에 게시된 'Sample By Step, Optimize By Chunk: Chunk-Level GRPO For Text-to-Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Reinforcement Learning #GRPO #Flow Matching #Chunk-level Optimization #Temporal Dynamics #Diffusion Models

2025년 10월 27일

[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] UniGenBench++: A Unified Semantic Evaluation Benchmark for Text-to-Image Generation

Yujie Zhou이 arXiv에 게시한 'UniGenBench++: A Unified Semantic Evaluation Benchmark for Text-to-Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Semantic Evaluation #Benchmark #Multilingual Evaluation #Fine-grained Assessment #Large Language Models #Model Evaluation #Prompt Engineering

2025년 10월 22일

[논문리뷰] SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

arXiv에 게시된 'SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Multimodal Models #Self-Rewarding #Text-to-Image Generation #Image Understanding #Post-Training #Global-Local Reward #Compositional Reasoning

2025년 10월 15일

[논문리뷰] Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation

Han Shi이 arXiv에 게시한 'Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Autoregressive Models #Text-to-Image Generation #Inference Acceleration #Jacobi Decoding #Denoising Diffusion Models #Speculative Decoding #Multi-token Prediction #Fine-tuning

2025년 10월 13일

[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] MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer

jialingt이 arXiv에 게시한 'MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLM #Hybrid Tokenizer #Text-to-Image Generation #Visual Question Answering #Autoregressive Model #Diffusion Decoder #Unified Architecture #Model Scaling

2025년 9월 22일

[논문리뷰] GenExam: A Multidisciplinary Text-to-Image Exam

Yu Qiao이 arXiv에 게시한 'GenExam: A Multidisciplinary Text-to-Image Exam' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Multidisciplinary #Benchmark #Evaluation #AGI #Reasoning #Scoring System #Visual Question Answering

2025년 9월 18일

[논문리뷰] FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark

Shuai Bai이 arXiv에 게시한 'FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Reasoning Dataset #Benchmark #Generation Chain-of-Thought #Vision-Language Model #Image Aesthetics #Prompt Alignment

2025년 9월 12일

[논문리뷰] Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference

Yingfang Zhang이 arXiv에 게시한 'Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Reinforcement Learning #Human Preference #Text-to-Image Generation #Reward Hacking #Direct-Align #SRPO #Fine-Grained Control #Flow Matching Models

2025년 9월 10일

[논문리뷰] Interleaving Reasoning for Better Text-to-Image Generation

Shixiang Tang이 arXiv에 게시한 'Interleaving Reasoning for Better Text-to-Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Interleaving Reasoning #Multimodal Learning #Visual Quality #Fine-grained Detail #Diffusion Models #Self-Correction

2025년 9월 9일

[논문리뷰] Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?

Rui Chen이 arXiv에 게시한 'Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #T2I Benchmarking #Compositional Reasoning #Deductive Inference #Inductive Inference #Abductive Inference #MLLM Evaluation

2025년 9월 9일

[논문리뷰] Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning

Jiazi Bu이 arXiv에 게시한 'Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Text-to-Image Generation #GRPO #Reward Hacking #Pairwise Preference #Reward Model #Stable Optimization #UniGenBench

2025년 8월 29일

[논문리뷰] Visual-CoG: Stage-Aware Reinforcement Learning with Chain of Guidance for Text-to-Image Generation

Haoxiang Shi이 arXiv에 게시한 'Visual-CoG: Stage-Aware Reinforcement Learning with Chain of Guidance for Text-to-Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Reinforcement Learning #Chain of Thought #Multimodal LLMs #Stage-Aware Rewards #Semantic Reasoning #Generative AI

2025년 8월 26일

[논문리뷰] T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation

Xihui Liu이 arXiv에 게시한 'T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Reasoning Benchmark #Idiom Interpretation #Textual Image Design #Entity Reasoning #Scientific Reasoning #Multimodal LLM Evaluation

2025년 8월 26일

[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] UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation

Kevin Galim이 arXiv에 게시한 'UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Masked Generative Transformers #Compositional Generation #Attention Guidance #Unmasking Strategy #Contrastive Learning #Training-Free #Attribute Binding

2025년 8월 13일

[논문리뷰] The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models

Elisabetta Rocchetti이 arXiv에 게시한 'The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Generation #Diffusion Models #Cross-Attention Analysis #Content-Style Disentanglement #Artistic Style Transfer #Explainable AI #SDXL

2025년 8월 7일

[논문리뷰] HPSv3: Towards Wide-Spectrum Human Preference Score

Hongsheng Li이 arXiv에 게시한 'HPSv3: Towards Wide-Spectrum Human Preference Score' 논문에 대한 자세한 리뷰입니다.

#Review #Human Preference Score #Text-to-Image Generation #Image Evaluation #Vision-Language Models (VLMs)#Uncertainty-Aware Ranking Loss #Dataset #Iterative Refinement #Chain-of-Thought

2025년 8월 7일