BAgger: A Novel Approach to Improve Video Generation Stability in Diffusion Models
Published:Dec 12, 2025 23:02
•1 min read
•ArXiv
Analysis
The paper introduces BAgger, a method to address a common problem in autoregressive video diffusion models: drift. The technique likely improves the temporal consistency and overall quality of generated videos by aggregating information in a novel, backwards manner.
Key Takeaways
Reference
“The paper focuses on mitigating drift in autoregressive video diffusion models.”