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All SourcesarXiv
#diffusion distillation

Optimizing Few-Step Generation with Adaptive Matching Distillation

Intermediate
Lichen Bai, Zikai Zhou et al.Feb 7arXiv

Diffusion models make great images and videos but are slow because they usually need many tiny steps.

#diffusion distillation#few-step generation#distribution matching distillation

Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis

Intermediate
Tianhe Wu, Ruibin Li et al.Feb 3arXiv

The paper solves a big problem in fast image generators: they got quick, but they lost variety and kept making similar pictures.

#diffusion distillation#distribution matching distillation#mode collapse

Knot Forcing: Taming Autoregressive Video Diffusion Models for Real-time Infinite Interactive Portrait Animation

Intermediate
Steven Xiao, Xindi Zhang et al.Dec 25arXiv

This paper introduces Knot Forcing, a way to make talking-head videos that look great while being generated live, frame by frame.

#Knot Forcing#autoregressive video diffusion#temporal knot