A survey that groups efficient video diffusion methods into four paradigms—step distillation, efficient attention, model compression, and cache/trajectory optimization—and outlines open challenges for practical use.
Equivdm: Equivariant video diffusion models with temporally consistent noise
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FlowPalm drives diffusion-based palmprint generation with optical flow priors to simulate complex non-rigid deformations while preserving identity, outperforming prior style-only methods on recognition benchmarks.
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Efficient Video Diffusion Models: Advancements and Challenges
A survey that groups efficient video diffusion methods into four paradigms—step distillation, efficient attention, model compression, and cache/trajectory optimization—and outlines open challenges for practical use.
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FlowPalm: Optical Flow Driven Non-Rigid Deformation for Geometrically Diverse Palmprint Generation
FlowPalm drives diffusion-based palmprint generation with optical flow priors to simulate complex non-rigid deformations while preserving identity, outperforming prior style-only methods on recognition benchmarks.