March 12, 2024, 4:47 a.m. | Wenhao Wang, Yi Yang

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.06098v1 Announce Type: new
Abstract: The arrival of Sora marks a new era for text-to-video diffusion models, bringing significant advancements in video generation and potential applications. However, Sora, as well as other text-to-video diffusion models, highly relies on the prompts, and there is no publicly available dataset featuring a study of text-to-video prompts. In this paper, we introduce VidProM, the first large-scale dataset comprising 1.67 million unique text-to-video prompts from real users. Additionally, the dataset includes 6.69 million videos generated …

abstract applications arxiv cs.cl cs.cv dataset diffusion diffusion models however marks prompt prompts scale sora study text text-to-video type video video diffusion video generation

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