Causal Forcing

During training, the model normally sees clean ground-truth frames as context, but at inference it sees its own imperfect outputs. This mismatch causes error accumulation. Causal Forcing trains with a causal ODE structure that exposes the model to its own predictions during training, closing the train/inference gap.

Website: https://thu-ml.github.io/CausalForcing.github.io/