33 citations · 47 across the 8 of their papers we have counts for
8 papers
MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generation
Jinbo Xing, Long Mai, Cusuh Ham +5
This paper presents a method that allows users to design cinematic video shots in the context of image-to-video generation. Shot design, a critical aspect of filmmaking, involves m…
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
Wangbo Yu, Jinbo Xing, Li Yuan +7
Despite recent advancements in neural 3D reconstruction, the dependence on dense multi-view captures restricts their broader applicability. In this work, we propose \textbf{ViewCra…
ToonCrafter: Generative Cartoon Interpolation
Jinbo Xing, Hanyuan Liu, Menghan Xia +4
We introduce ToonCrafter, a novel approach that transcends traditional correspondence-based cartoon video interpolation, paving the way for generative interpolation. Traditional me…
Physics-based Scene Layout Generation from Human Motion
Jianan Li, Tao Huang, Qingxu Zhu +1
Creating scenes for captured motions that achieve realistic human-scene interaction is crucial for 3D animation in movies or video games. As character motion is often captured in a…
Sketch2Manga: Shaded Manga Screening from Sketch with Diffusion Models
Jian Lin, Xueting Liu, Chengze Li +2
While manga is a popular entertainment form, creating manga is tedious, especially adding screentones to the created sketch, namely manga screening. Unfortunately, there is no exis…
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…
Highly Detailed and Temporal Consistent Video Stylization via Synchronized Multi-Frame Diffusion
Minshan Xie, Hanyuan Liu, Chengze Li +1
Text-guided video-to-video stylization transforms the visual appearance of a source video to a different appearance guided on textual prompts. Existing text-guided image diffusion…
Text-Guided Texturing by Synchronized Multi-View Diffusion
Yuxin Liu, Minshan Xie, Hanyuan Liu +1
This paper introduces a novel approach to synthesize texture to dress up a given 3D object, given a text prompt. Based on the pretrained text-to-image (T2I) diffusion model, existi…