Video Diffusion Models - A Survey

TMLR Paper1756 Authors

30 Oct 2023 (modified: 03 Feb 2024)Rejected by TMLREveryoneRevisionsBibTeX
Abstract: Diffusion generative models have recently shown great potential for video generation and editing tasks. This survey provides a systematic overview over relevant aspects of video diffusion models such as applications, architecture, and temporal dynamics. Developments in the field are outlined through paper summaries. The review concludes with an examination of remaining challenges and an outlook on the future of the field.
Submission Length: Long submission (more than 12 pages of main content)
Assigned Action Editor: ~Jaakko_Peltonen1
Submission Number: 1756
Loading