New methods target diffusion efficiency, sparse attention, and interpretability

ALLOT reports training-free sparse-attention gains across five video-diffusion pipelines, while Correction Training and SWIFT address diffusion train–inference mismatch. ALPS and transcoder work add representation and interpretability signals; reproducibility, scaling, perceptual quality, and explanatory power need further testing.