AI RESEARCH
Efficient Video Diffusion Models: Advancements and Challenges
arXiv CS.CV
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ArXi:2604.15911v1 Announce Type: new Video diffusion models have rapidly become the dominant paradigm for high-fidelity generative video synthesis, but their practical deployment remains constrained by severe inference costs. Compared with image generation, video synthesis compounds computation across spatial-temporal token growth and iterative denoising, making attention and memory traffic major bottlenecks in real-world settings. This survey provides a systematic and deployment-oriented review of efficient video diffusion models.