Author

Fangyuan Kong

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#machine learning Preprint Oct 2026

DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models

Online reinforcement learning (RL) fine-tunes diffusion models with black-box rewards, but reverse-process methods such as Flow-GRPO are limited in efficiency by poor credit assignment, while forward-process methods such as DiffusionNFT are efficient yet unstable without carefully tuned exponential-moving-average (EMA)...

Zheng-Lin Wan, Jia-Yu Chen, Zhengfeiyang Zhang et al. · 0 citations

Preprint Jul 2026

Temporal Concentration from Rollout Errors: Implicit Preference Optimization for Text-to-Video Diffusion

Concentrated Implicit Preference Optimization (cIPO) is proposed, a post-training framework for video diffusion models that captures inference-time errors without requiring human annotations or external reward models and consistently enhances video authenticity and temporal coherence across multiple datasets.

Henglin Liu, Fangyuan Kong, Jing Wang et al. · 0 citations