Equilibrium Forcing: Adaptive video generation without noise conditioning
kwangmoo_yi · x · 2026-08-22
Researchers from UCSD, MIT, and Harvard introduced Equilibrium Forcing (EqF), a framework for video denoising generative models without noise level conditioning. EqF improves video quality and sampling speed via adaptive sampling, decoupling denoising field learning from sampling. Experiments on Minecraft, RealEstate10K, and DROID datasets show it outperforms standard noise-conditional methods.
Related event: Equilibrium Forcing Enables Noise-Free Adaptive Video Generation(2 posts)→
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