Review

[논문리뷰] IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction

Fangzhou Hong이 arXiv에 게시한 'IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction' 논문에 대한 자세한 리뷰입니다.

#Review #Semantic 3D Reconstruction #Instance Grounding #Geometry Transformer #Multi-view Consistency #Scene Understanding #InsScene-15K #Vision-Language Models #Cross-Modal Fusion

2025년 10월 28일

[논문리뷰] FARMER: Flow AutoRegressive Transformer over Pixels

Zhijie Lin이 arXiv에 게시한 'FARMER: Flow AutoRegressive Transformer over Pixels' 논문에 대한 자세한 리뷰입니다.

#Review #Normalizing Flows #Autoregressive Models #Generative Models #Image Synthesis #Tractable Likelihood #Dimension Reduction #Distillation #Classifier-Free Guidance

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] E^2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker

arXiv에 게시된 'E^2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker' 논문에 대한 자세한 리뷰입니다.

#Review #Text Embedding #Listwise Reranking #Information Retrieval #Pseudo Relevance Feedback #Contrastive Learning #Multi-task Learning #Efficiency #LLM-based Ranking

2025년 10월 28일

[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] DiffusionLane: Diffusion Model for Lane Detection

arXiv에 게시된 'DiffusionLane: Diffusion Model for Lane Detection' 논문에 대한 자세한 리뷰입니다.

#Review #Lane Detection #Diffusion Model #Denoising Diffusion #Hybrid Decoding #Anchor-based #Domain Adaptation #Computer Vision #Generative Models

2025년 10월 28일

[논문리뷰] Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations

arXiv에 게시된 'Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations' 논문에 대한 자세한 리뷰입니다.

#Review #Self-Supervised Learning #2D-3D Fusion #Spatial Representation #Point Cloud #Image Features #Multimodal Learning #Semantic Segmentation #LoRA

2025년 10월 28일

[논문리뷰] Code Aesthetics with Agentic Reward Feedback

Yupan Huang이 arXiv에 게시한 'Code Aesthetics with Agentic Reward Feedback' 논문에 대한 자세한 리뷰입니다.

#Review #Code Aesthetics #Agentic Reward Feedback #Large Language Models #Reinforcement Learning #Instruction Tuning #Webpage Design #Multimodal Evaluation

2025년 10월 28일

[논문리뷰] ACG: Action Coherence Guidance for Flow-based VLA models

arXiv에 게시된 'ACG: Action Coherence Guidance for Flow-based VLA models' 논문에 대한 자세한 리뷰입니다.

#Review #Action Coherence #Flow Matching #VLA Models #Guidance #Robotics #Imitation Learning #Transformer #Self-Attention

2025년 10월 28일

[논문리뷰] A Survey of Data Agents: Emerging Paradigm or Overstated Hype?

Boyan Li이 arXiv에 게시한 'A Survey of Data Agents: Emerging Paradigm or Overstated Hype?' 논문에 대한 자세한 리뷰입니다.

#Review #Data Agents #LLMs #Autonomy Levels #Hierarchical Taxonomy #SAE J3016 #Data Management #Data Preparation #Data Analysis #Autonomous Orchestration

2025년 10월 28일

[논문리뷰] WorldGrow: Generating Infinite 3D World

Jia Lu이 arXiv에 게시한 'WorldGrow: Generating Infinite 3D World' 논문에 대한 자세한 리뷰입니다.

#Review #3D World Generation #Infinite Scene Synthesis #Block-wise Generation #Coarse-to-Fine #3D Inpainting #Structured Latent Representation #Virtual Environments #World Models

2025년 10월 27일

[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] Video-As-Prompt: Unified Semantic Control for Video Generation

arXiv에 게시된 'Video-As-Prompt: Unified Semantic Control for Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Semantic Control #Diffusion Transformers #In-Context Learning #Mixture-of-Transformers #Video-As-Prompt #Controllable Generation #Large-scale Dataset

2025년 10월 27일

[논문리뷰] UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning

arXiv에 게시된 'UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #GUI Grounding #Natural Language Instructions #Multi-Perspective Reasoning #Supervised Fine-Tuning (SFT)#Reinforcement Learning (RL)#Policy Collapse Mitigation #GUI Agents

2025년 10월 27일

[논문리뷰] Taming Modality Entanglement in Continual Audio-Visual Segmentation

Zhaojin Fu이 arXiv에 게시한 'Taming Modality Entanglement in Continual Audio-Visual Segmentation' 논문에 대한 자세한 리뷰입니다.

#Review #Continual Learning #Audio-Visual Segmentation #Modality Entanglement #Semantic Drift #Co-occurrence Confusion #Rehearsal Strategy #Sample Selection

2025년 10월 27일

[논문리뷰] Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers

arXiv에 게시된 'Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers' 논문에 대한 자세한 리뷰입니다.

#Review #MoE #Reinforcement Learning #Training Stability #Routing #Policy Alignment #Rollout Routing Replay #LLMs

2025년 10월 27일

[논문리뷰] Sparser Block-Sparse Attention via Token Permutation

arXiv에 게시된 'Sparser Block-Sparse Attention via Token Permutation' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models (LLMs)#Self-Attention #Block-Sparse Attention #Token Permutation #Computational Efficiency #Prefilling #Long Context #Causal Attention

2025년 10월 27일

[논문리뷰] Soft Instruction De-escalation Defense

arXiv에 게시된 'Soft Instruction De-escalation Defense' 논문에 대한 자세한 리뷰입니다.

#Review #Prompt Injection #LLM Security #Agentic Systems #Iterative Sanitization #Instruction Control #Adversarial Robustness #Large Language Models

2025년 10월 27일

[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] Reasoning with Sampling: Your Base Model is Smarter Than You Think

arXiv에 게시된 'Reasoning with Sampling: Your Base Model is Smarter Than You Think' 논문에 대한 자세한 리뷰입니다.

#Review #LLMs #MCMC #Sampling #Reasoning #Distribution Sharpening #Reinforcement Learning (RL)#Inference-time Optimization #Training-free

2025년 10월 27일