Haechan Shin

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upvoted a paper 2 months ago

Video models are zero-shot learners and reasoners

Paper • 2509.20328 • Published Sep 24 • 98

upvoted a paper 5 months ago

Scaling RL to Long Videos

Paper • 2507.07966 • Published Jul 10 • 159

upvoted a paper 6 months ago

UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Paper • 2506.03147 • Published Jun 3 • 58

upvoted 2 papers 7 months ago

Flow-GRPO: Training Flow Matching Models via Online RL

Paper • 2505.05470 • Published May 8 • 86

In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer

Paper • 2504.20690 • Published Apr 29 • 19

upvoted 2 papers 8 months ago

Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models

Paper • 2503.20240 • Published Mar 26 • 22

Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy

Paper • 2503.19757 • Published Mar 25 • 51

upvoted 7 papers 9 months ago

CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models

Paper • 2503.18886 • Published Mar 24 • 23

Position: Interactive Generative Video as Next-Generation Game Engine

Paper • 2503.17359 • Published Mar 21 • 61

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 119

Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation

Paper • 2503.13070 • Published Mar 17 • 10

Concat-ID: Towards Universal Identity-Preserving Video Synthesis

Paper • 2503.14151 • Published Mar 18 • 10

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

Paper • 2503.14492 • Published Mar 18 • 20

EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer

Paper • 2503.07027 • Published Mar 10 • 29