Equilibrium Forcing: Adaptive Video Generation Without Noise Conditioning
Equilibrium Forcing (EQF) simplifies video generation by removing explicit noise level conditioning from training and inference. It introduces a unified denoising field that learns directly from data, allowing for adaptive sampling during generation. This enables closed-loop inference where the model adjusts its steps based on the sample's state, leading to higher quality and better performance on complex video tasks.