BAgger: A Novel Approach to Improve Video Generation Stability in Diffusion Models
Research#Video Diffusion🔬 Research|Analyzed: Jan 10, 2026 11:38•
Published: Dec 12, 2025 23:02
•1 min read
•ArXivAnalysis
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.
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View Original"The paper focuses on mitigating drift in autoregressive video diffusion models."