#Flow Matching

64개의 포스트

[논문리뷰] Woosh: A Sound Effects Foundation Model

arXiv에 게시된 'Woosh: A Sound Effects Foundation Model' 논문에 대한 자세한 리뷰입니다.

#Review #Foundation Model #Sound Effects #Latent Diffusion Model #Flow Matching #Audio-Visual Generation #Distillation

2026년 4월 2일

[논문리뷰] Unified Number-Free Text-to-Motion Generation Via Flow Matching

Oya Celiktutan이 arXiv에 게시한 'Unified Number-Free Text-to-Motion Generation Via Flow Matching' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Motion #Flow Matching #Number-Free Synthesis #Hierarchical Modeling #Multi-Person Interaction

2026년 3월 30일

[논문리뷰] UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation

arXiv에 게시된 'UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Unified Policy Optimization #Reinforcement Learning #Reasoning-Driven Generation #Interleaved Generation #Flow Matching #Markov Decision Process #Classifier-Free Guidance #Reward Hacking

2026년 3월 24일

[논문리뷰] TrajLoom: Dense Future Trajectory Generation from Video

Hang Chu이 arXiv에 게시한 'TrajLoom: Dense Future Trajectory Generation from Video' 논문에 대한 자세한 리뷰입니다.

#Review #Dense Trajectory Generation #Future Motion Prediction #Video Understanding #Flow Matching #Variational Autoencoder #Spatiotemporal Consistency #On-policy Fine-tuning #Grid-Anchor Offset Encoding

2026년 3월 24일

[논문리뷰] FASTER: Rethinking Real-Time Flow VLAs

arXiv에 게시된 'FASTER: Rethinking Real-Time Flow VLAs' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language-Action (VLA) Models #Real-Time Robotics #Action Chunking #Reaction Latency #Flow Matching #Horizon-Aware Schedule (HAS)#Time to First Action (TTFA)

2026년 3월 19일

[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] Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers

Zhaoqiang Liu이 arXiv에 게시한 'Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformers #Spatial Acceleration #Training-Free #Generative AI #Flow Matching #ODE Solvers #Inference Speedup #Resource Allocation

2026년 3월 11일

[논문리뷰] Streaming Autoregressive Video Generation via Diagonal Distillation

arXiv에 게시된 'Streaming Autoregressive Video Generation via Diagonal Distillation' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Autoregressive Models #Diffusion Models #Distillation #Real-time #Streaming #Temporal Coherence #Flow Matching

2026년 3월 10일

[논문리뷰] Distribution-Conditioned Transport

Omar Abudayyeh이 arXiv에 게시한 'Distribution-Conditioned Transport' 논문에 대한 자세한 리뷰입니다.

#Review #Distribution-Conditioned Transport #Generative Distribution Embeddings #Optimal Transport #Flow Matching #Semi-Supervised Learning #Generalization #Single-cell Genomics #Batch Effect Transfer

2026년 3월 5일

[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] Mode Seeking meets Mean Seeking for Fast Long Video Generation

arXiv에 게시된 'Mode Seeking meets Mean Seeking for Fast Long Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Long Video Generation #Diffusion Models #Mode Seeking #Mean Seeking #Decoupled Diffusion Transformer #Flow Matching #Distribution Matching #Video Synthesis

2026년 3월 1일

[논문리뷰] Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models

arXiv에 게시된 'Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models' 논문에 대한 자세한 리뷰입니다.

#Review #Video-to-Audio Generation #Length Generalization #Multimodal Learning #Mamba Architecture #Hierarchical Networks #Flow Matching #Audio Synthesis

2026년 2월 26일

[논문리뷰] Communication-Inspired Tokenization for Structured Image Representations

arXiv에 게시된 'Communication-Inspired Tokenization for Structured Image Representations' 논문에 대한 자세한 리뷰입니다.

#Review #Image Tokenization #Structured Representation #Attentive Encoding #Flow Matching #Semantic Alignment #Compositional Generalization #Transformer Architecture

2026년 2월 24일

[논문리뷰] SimVLA: A Simple VLA Baseline for Robotic Manipulation

arXiv에 게시된 'SimVLA: A Simple VLA Baseline for Robotic Manipulation' 논문에 대한 자세한 리뷰입니다.

#Review #Robotic Manipulation #Vision-Language-Action (VLA) Models #Baseline Model #Modular Design #Flow Matching #Zero-Shot Generalization #Standardized Training #Efficiency

2026년 2월 23일

[논문리뷰] SARAH: Spatially Aware Real-time Agentic Humans

Alexander Richard이 arXiv에 게시한 'SARAH: Spatially Aware Real-time Agentic Humans' 논문에 대한 자세한 리뷰입니다.

#Review #Embodied Agents #Real-time #Conversational AI #Motion Generation #Spatially Aware #VR #Causal Models #Flow Matching #Gaze Control

2026년 2월 22일

[논문리뷰] World Action Models are Zero-shot Policies

arXiv에 게시된 'World Action Models are Zero-shot Policies' 논문에 대한 자세한 리뷰입니다.

#Review #World Action Models #Video Diffusion Models #Zero-shot Generalization #Cross-embodiment Transfer #Real-time Control #Robotics #Foundation Models #Flow Matching

2026년 2월 18일

[논문리뷰] Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution

arXiv에 게시된 'Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language-Action (VLA)#Real-Time Robotics #Diffusion Transformer #Flow Matching #Asynchronous Execution #Robot Manipulation #Pre-training #Catastrophic Forgetting

2026년 2월 15일

[논문리뷰] FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching

Xiao Ma이 arXiv에 게시한 'FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning #Maximum Entropy RL #Kinetic Energy Regularization #Schrödinger Bridge #Generative Policies #Flow Matching #Actor-Critic

2026년 2월 15일

[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] 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] Green-VLA: Staged Vision-Language-Action Model for Generalist Robots

arXiv에 게시된 'Green-VLA: Staged Vision-Language-Action Model for Generalist Robots' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language-Action #Generalist Robots #Staged Training #Reinforcement Learning #Multi-embodiment #Data Quality #Humanoid Robotics #Flow Matching

2026년 2월 2일

[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] Transition Matching Distillation for Fast Video Generation

arXiv에 게시된 'Transition Matching Distillation for Fast Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Diffusion Models #Model Distillation #Few-Step Sampling #Transition Matching #Flow Matching #DMD2 #Efficiency

2026년 1월 15일

[논문리뷰] SAM Audio: Segment Anything in Audio

arXiv에 게시된 'SAM Audio: Segment Anything in Audio' 논문에 대한 자세한 리뷰입니다.

#Review #Audio Source Separation #Foundation Models #Multimodal Prompting #Diffusion Transformers #Flow Matching #Self-Supervised Learning #Reference-Free Evaluation #Audio-Visual Learning

2025년 12월 23일

[논문리뷰] Task adaptation of Vision-Language-Action model: 1st Place Solution for the 2025 BEHAVIOR Challenge

Akash Karnatak이 arXiv에 게시한 'Task adaptation of Vision-Language-Action model: 1st Place Solution for the 2025 BEHAVIOR Challenge' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language-Action (VLA) models #Flow Matching #Embodied AI #Robot Manipulation #BEHAVIOR Challenge #Correlated Noise #Stage Tracking #Multi-Task Learning

2025년 12월 14일

[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] TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows

arXiv에 게시된 'TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows' 논문에 대한 자세한 리뷰입니다.

#Review #Generative Models #One-step Generation #Self-Adversarial Learning #Flow Matching #Large Language Models #Text-to-Image #Efficient Inference #Diffusion Models

2025년 12월 7일

[논문리뷰] TV2TV: A Unified Framework for Interleaved Language and Video Generation

arXiv에 게시된 'TV2TV: A Unified Framework for Interleaved Language and Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Language Modeling #Multimodal AI #Interleaved Generation #Flow Matching #Transformer #Controllability #World Models

2025년 12월 4일

[논문리뷰] Generative Neural Video Compression via Video Diffusion Prior

arXiv에 게시된 'Generative Neural Video Compression via Video Diffusion Prior' 논문에 대한 자세한 리뷰입니다.

#Review #Neural Video Compression #Diffusion Models #Generative Models #Video Compression #Temporal Coherence #Perceptual Quality #Flow Matching #Video Diffusion Transformer (VideoDiT)

2025년 12월 4일

[논문리뷰] DiG-Flow: Discrepancy-Guided Flow Matching for Robust VLA Models

arXiv에 게시된 'DiG-Flow: Discrepancy-Guided Flow Matching for Robust VLA Models' 논문에 대한 자세한 리뷰입니다.

#Review #VLA Models #Flow Matching #Robotics #Robustness #Distribution Shift #Wasserstein Distance #Geometric Regularization #Representation Learning

2025년 12월 2일

[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] Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration

arXiv에 게시된 'Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration' 논문에 대한 자세한 리뷰입니다.

#Review #3D Geometry Synthesis #Diffusion Models #Acceleration #Caching #Training-free #Flow Matching #Voxel Stabilization #Computational Efficiency

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] Terminal Velocity Matching

Jiaming Song이 arXiv에 게시한 'Terminal Velocity Matching' 논문에 대한 자세한 리뷰입니다.

#Review #Generative Models #Flow Matching #Diffusion Models #One-Step Generation #Few-Step Generation #Wasserstein Distance #Transformer Architecture #Lipschitz Continuity

2025년 11월 26일

[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] 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] EVTAR: End-to-End Try on with Additional Unpaired Visual Reference

arXiv에 게시된 'EVTAR: End-to-End Try on with Additional Unpaired Visual Reference' 논문에 대한 자세한 리뷰입니다.

#Review #Virtual Try-on #Diffusion Models #End-to-End Learning #Reference Images #Unpaired Data #Flow Matching #Transformer Architecture #Generative AI

2025년 11월 9일

[논문리뷰] World Simulation with Video Foundation Models for Physical AI

Junjie Bai이 arXiv에 게시한 'World Simulation with Video Foundation Models for Physical AI' 논문에 대한 자세한 리뷰입니다.

#Review #Physical AI #World Simulation #Video Foundation Models #Flow Matching #Reinforcement Learning #Robotics #Autonomous Driving #Synthetic Data Generation

2025년 11월 9일

[논문리뷰] UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback

arXiv에 게시된 'UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback' 논문에 대한 자세한 리뷰입니다.

#Review #Relighting #Diffusion Models #Flow Matching #Physics-Plausible Feedback #Image-to-Video #Geometric Supervision #Path Consistency Learning #LumosBench

2025년 11월 9일

[논문리뷰] π_RL: Online RL Fine-tuning for Flow-based Vision-Language-Action Models

arXiv에 게시된 'π_RL: Online RL Fine-tuning for Flow-based Vision-Language-Action Models' 논문에 대한 자세한 리뷰입니다.

#Review #Reinforcement Learning (RL)#Vision-Language-Action Models (VLAs)#Flow-based Models #Policy Optimization #Robotics #Flow Matching #SDE #MDP

2025년 11월 9일

[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] EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation

arXiv에 게시된 'EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Enzyme Design #Protein Engineering #Generative Models #Flow Matching #Substrate-Specific Control #Functional Site Prediction #Biomolecular AI #Deep Learning

2025년 10월 31일

[논문리뷰] The Principles of Diffusion Models

Stefano Ermon이 arXiv에 게시한 'The Principles of Diffusion Models' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Generative AI #Variational Autoencoder #Energy-Based Models #Normalizing Flows #Score-Based SDEs #Flow Matching #Fokker-Planck Equation

2025년 10월 30일

[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] 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] 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] 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] pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation

arXiv에 게시된 'pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Models #Flow Matching #Generative Models #Model Distillation #Imitation Learning #Few-Step Generation #Policy-Based AI #Text-to-Image

2025년 10월 17일

[논문리뷰] X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Xirui Kang이 arXiv에 게시한 'X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language-Action (VLA) Models #Soft Prompts #Transformer #Cross-Embodiment #Robotics #Pretraining #Domain Adaptation #Flow Matching

2025년 10월 16일

[논문리뷰] OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows

arXiv에 게시된 'OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows' 논문에 대한 자세한 리뷰입니다.

#Review #Non-Autoregressive #Multimodal Generation #Edit Flows #Flow Matching #Interleaved Generation #Text-to-Image Synthesis #Unified Models

2025년 10월 8일

[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] Deforming Videos to Masks: Flow Matching for Referring Video Segmentation

Chengzu Li이 arXiv에 게시한 'Deforming Videos to Masks: Flow Matching for Referring Video Segmentation' 논문에 대한 자세한 리뷰입니다.

#Review #Referring Video Object Segmentation #Flow Matching #Video Segmentation #Generative Models #Text-to-Video #Continuous Flow #Diffusion Models

2025년 10월 8일

[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] 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] EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control

Zhaoqing Chen이 arXiv에 게시한 'EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control' 논문에 대한 자세한 리뷰입니다.

#Review #Embodied AI #Robot Control #Vision-Language-Action Models #Multimodal Pretraining #Flow Matching #Foundation Models #Generalization #Real-world Robotics

2025년 9월 1일

[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] TempFlow-GRPO: When Timing Matters for GRPO in Flow Models

Jian Yang이 arXiv에 게시한 'TempFlow-GRPO: When Timing Matters for GRPO in Flow Models' 논문에 대한 자세한 리뷰입니다.

#Review #Flow Matching #Reinforcement Learning #Human Preference Alignment #GRPO #Temporal Credit Assignment #Generative AI #Text-to-Image

2025년 8월 20일

[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] Marco-Voice Technical Report

Qingjuan Li이 arXiv에 게시한 'Marco-Voice Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Speech Synthesis #Voice Cloning #Emotion Control #Text-to-Speech #Disentanglement #Contrastive Learning #Flow Matching #Emotional Speech Dataset

2025년 8월 8일

[논문리뷰] SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering

Ambuj Mehrish이 arXiv에 게시한 'SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering' 논문에 대한 자세한 리뷰입니다.

#Review #Music Restoration #Audio Mastering #Generative Models #Flow Matching #Text-to-Audio #Audio Quality Enhancement #Multi-task Learning #Dataset Creation

2025년 8월 7일

[논문리뷰] InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation

Yang Tian이 arXiv에 게시한 'InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language-Action (VLA)#Instruction Tuning #Multimodal Reasoning #Robotic Manipulation #Catastrophic Forgetting #Mixture-of-Experts (MoE)#Flow Matching

2025년 8월 5일