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

37 citations · 70 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20236 cited

DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

Jinbo Xing, Menghan Xia, Yong Zhang +6

Animating a still image offers an engaging visual experience. Traditional image animation techniques mainly focus on animating natural scenes with stochastic dynamics (e.g. clouds…

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.CV202314 cited

ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models

Yingqing He, Shaoshu Yang, Haoxin Chen +7

In this work, we investigate the capability of generating images from pre-trained diffusion models at much higher resolutions than the training image sizes. In addition, the genera…

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.CV20231 cited

TaleCrafter: Interactive Story Visualization with Multiple Characters

Yuan Gong, Youxin Pang, Xiaodong Cun +8

Accurate Story visualization requires several necessary elements, such as identity consistency across frames, the alignment between plain text and visual content, and a reasonable…

cs.CV202310 cited

BSNet: Lane Detection via Draw B-spline Curves Nearby

Haoxin Chen, Mengmeng Wang, Yong Liu

Curve-based methods are one of the classic lane detection methods. They learn the holistic representation of lane lines, which is intuitive and concise. However, their performance…