2026
Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models
CVPR 2026
Diffusion Transformers (DiTs) have achieved state-of-the-art image and video generation performance, but sampling remains expensive due to repeated transformer forward passes over many timesteps. Feature caching offers a training-free way to accelerate inference by reusing or forecasting hidden repr