Self Gradient Forcing: Native Long Video Extrapolation
Self Gradient Forcing (SGF) is a two-pass training strategy for autoregressive video diffusion that restores missing supervision in the context-gradient path, enabling extrapolation to multi-minute videos from only 5-second training windows with improved identity preservation and temporal stability.
Why it matters
Ranked #2 trending on HuggingFace Daily Papers (>=100 upvotes); addresses a fundamental limitation in long-video generation.
Importance: 4/5
#2 trending HF Daily Paper with >=100 upvotes.
Sources
official
Self Gradient Forcing on arXiv