Chaoyu Li

[Chaoyu Li @chaoyu72033]

🚀🚀🚀 Excited to share our new paper: “Video Generation Models: A Survey of Post-Training and Alignment.”

As video generation advances, the key challenge is no longer just scaling, but reliability, controllability, and alignment with human intent. Post-training alignment hence has emerged as the central stage for shaping model behavior in video systems.

Our work provides the first comprehensive review of post-training alignment in video generation, introducing a unified perspective on implicit vs. explicit alignment and organizing the landscape across:
• Supervised Fine-tuning Methods
• Self-training & Distillation Methods
• Preference- & Reward-Based Methods
• Inference-Time Methods

Beyond methods, we systematically review datasets, benchmarks, evaluation protocols, and broader research challenges in post-training alignment.

Paper: https://t.co/tz2hIy9pTU
GitHub (continuously updated): https://t.co/0SkyXht4Tw https://t.co/dPZQLOpc4T

#VideoGeneration #GenerativeAI #PostTraining #Alignment #AI #ComputerVision