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A Survey on Long Video Generation: Challenges, Methods, and Prospects
March 26, 2024, 4:47 a.m. | Chengxuan Li, Di Huang, Zeyu Lu, Yang Xiao, Qingqi Pei, Lei Bai
cs.CV updates on arXiv.org arxiv.org
Abstract: Video generation is a rapidly advancing research area, garnering significant attention due to its broad range of applications. One critical aspect of this field is the generation of long-duration videos, which presents unique challenges and opportunities. This paper presents the first survey of recent advancements in long video generation and summarises them into two key paradigms: divide and conquer temporal autoregressive.
We delve into the common models employed in each paradigm, including aspects of network …
abstract applications arxiv attention challenges cs.cv opportunities paper prospects research survey type video video generation videos
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