20 citations · 24 across the 4 of their papers we have counts for
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cs.CV2024★ 1 cited
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Haoxin Chen, Yong Zhang, Xiaodong Cun +4
Text-to-video generation aims to produce a video based on a given prompt. Recently, several commercial video models have been able to generate plausible videos with minimal noise,…
cs.CV2023★ 37 cited
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Haoxin Chen, Menghan Xia, Yingqing He +9
Video generation has increasingly gained interest in both academia and industry. Although commercial tools can generate plausible videos, there is a limited number of open-source m…
cs.CV2023★ 5 cited
Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
Yingqing He, Menghan Xia, Haoxin Chen +8
Generating videos for visual storytelling can be a tedious and complex process that typically requires either live-action filming or graphics animation rendering. To bypass these c…