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Equilibrium Forcing: Adaptive Video Generation Without Noise Conditioning
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video generationdenoisingautoregressive models
2608.14706
Builder Relevance
1h ago80%
Abstract
The paper introduces Equilibrium Forcing (EqF), a framework for video denoising generative models that enhances video generation quality by removing noise level conditioning.
Reality Card
Core Claim
EqF allows for adaptive inference procedures that improve video quality and consistency by decoupling the learning of the denoising field from sampling.
Method / Result
EqF surpasses standard noise level-conditional methods on challenging autoregressive video generation benchmarks.
Limitations
The paper does not specify authors or provide detailed experimental setups, which may hinder reproducibility.
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