VideoMLA replaces per-head video diffusion KV caches with shared low-rank latents to cut memory by 92.7% and improve long-horizon streaming quality and throughput.
Exact posterior score estimation derives closed-form posterior scores for linear Gaussian inverse problems, enabling efficient training and sampling that outperforms baselines with far fewer evaluations.