most citedVideoCrafter1: Open Diffusion Models for High-Quality Video Generation

37 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV202337 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.CV20235 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…

cs.CV20232 cited

Video Colorization with Pre-trained Text-to-Image Diffusion Models

Hanyuan Liu, Minshan Xie, Jinbo Xing +2

Video colorization is a challenging task that involves inferring plausible and temporally consistent colors for grayscale frames. In this paper, we present ColorDiffuser, an adapta…

cs.CV20232 cited

Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance

Jinbo Xing, Menghan Xia, Yuxin Liu +9

Creating a vivid video from the event or scenario in our imagination is a truly fascinating experience. Recent advancements in text-to-video synthesis have unveiled the potential t…

cs.CV20233 cited

Improved Diffusion-based Image Colorization via Piggybacked Models

Hanyuan Liu, Jinbo Xing, Minshan Xie +2

Image colorization has been attracting the research interests of the community for decades. However, existing methods still struggle to provide satisfactory colorized results given…

cs.CV20221 cited

Scale-arbitrary Invertible Image Downscaling

Jinbo Xing, Wenbo Hu, Tien-Tsin Wong

Conventional social media platforms usually downscale the HR images to restrict their resolution to a specific size for saving transmission/storage cost, which leads to the super-r…