Announcing Diffusion Forcing Transformer (DFoT), our new video diffusion algorithm that generates ultra-long videos of 800+ frames. DFoT enables History Guidance, a simple add-on to any existing video diffusion models for a quality boost. Website: boyuan.space/history-guidance (1/7) - ThreadSky

vincentsitzmann.bsky.social • 15 days ago

Announcing Diffusion Forcing Transformer (DFoT), our new video diffusion algorithm that generates ultra-long videos of 800+ frames. DFoT enables History Guidance, a simple add-on to any existing video diffusion models for a quality boost. Website: https://boyuan.space/history-guidance (1/7)

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vincentsitzmann.bsky.social•15 days ago

Classifier-free Guidance (CFG) has been widely used by video diffusion models to boost sample quality. However, researchers rarely perform CFG beyond the first frame. Our paper finds that an equally important conditioning variable, the history, is the long-ignored key. (2/7)

vincentsitzmann.bsky.social•15 days ago

Can we train a single model to perform conditional diffusion with different portions of history - variable lengths, subsets of frames, and even different image-domain frequencies? Introducing DFoT, a simple yet flexible add-on that requires no architectural changes. (3/7)

vincentsitzmann.bsky.social•15 days ago

Unlike previous methods, DFoT views history or target alike as tokens of different noise levels. DFoT trains diffusion with varying noise levels per frame. To conditionally sample, one simply masks out a portion of history with noise before computing the diffusion score. (4/7)

vincentsitzmann.bsky.social•15 days ago

DFoT enables History Guidance (HG), a family of history-conditioned guidance methods that composes diffusion scores from different histories. From its simplest form to its most advanced variant, HG significantly enhances video diffusion and unlocks new abilities. (5/7)

vincentsitzmann.bsky.social•15 days ago

We show that DFoT alone is already a competitive model, matching or beating industry SOTA with way more compute than us. Together with HG, it can stably rollout very long videos, stay robust to out-of-distribution context, and stitch sub-trajectories (6/7)

vincentsitzmann.bsky.social•15 days ago

For more information, please visit our paper https://arxiv.org/abs/2502.06764 and project website https://boyuan.space/history-guidance and. All credit goes to my students Kiwhan Song (still in his undergrad!) and Boyuan Chen, as well as awesome collaborators Yilun Du, Max Simchowitz, and Russ Tedrake. (7/7)

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