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cs.CV2026
Parallel Decoding Distillation for Fast Image and Video Generation
Neta Shaul, Chao Liu, Arash Vahdat +1
Generation in video diffusion or flow models is computationally expensive due to the slow and iterative sampling process. Current state-of-the-art (SOTA) acceleration methods heavi…
cs.LG2026
Flow Sampling: Learning to Sample from Unnormalized Densities via Denoising Conditional Processes
Aaron Havens, Brian Karrer, Neta Shaul
Sampling from unnormalized densities is analogous to the generative modeling problem, but the target distribution is defined by a known energy function instead of data samples. Bec…