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.
Causnvs: Autoregressive multi-view diffusion for flexible 3d novel view synthesis.CoRR, abs/2509.06579,
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HarmoView proposes Multi-level Feature Injection, learnable proxy tokens, Jump-RoPE, and Progressive View Curriculum plus a new multi-view dataset to achieve state-of-the-art identity-consistent video generation from multi-view inputs.
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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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HarmoView: Harmonizing Multi-View Constraints for Identity-Consistent Video Generation
HarmoView proposes Multi-level Feature Injection, learnable proxy tokens, Jump-RoPE, and Progressive View Curriculum plus a new multi-view dataset to achieve state-of-the-art identity-consistent video generation from multi-view inputs.