Fangyuan Kong

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.