37 citations · 76 across the 18 of their papers we have counts for
17 papers · 1 filter
Follow-Your-Creation: Empowering 4D Creation through Video Inpainting
Yue Ma, Kunyu Feng, Xinhua Zhang +7
We introduce Follow-Your-Creation, a novel 4D video creation framework capable of both generating and editing 4D content from a single monocular video input. By leveraging a powerf…
Training-Free Efficient Video Generation via Dynamic Token Carving
Yuechen Zhang, Jinbo Xing, Bin Xia +6
Despite the remarkable generation quality of video Diffusion Transformer (DiT) models, their practical deployment is severely hindered by extensive computational requirements. This…
TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Models
Mark YU, Wenbo Hu, Jinbo Xing +1
We present TrajectoryCrafter, a novel approach to redirect camera trajectories for monocular videos. By disentangling deterministic view transformations from stochastic content gen…
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…
StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
Gongye Liu, Menghan Xia, Yong Zhang +6
Text-to-video (T2V) models have shown remarkable capabilities in generating diverse videos. However, they struggle to produce user-desired stylized videos due to (i) text's inheren…
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…
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…
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…
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…
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…
Real-World Image Variation by Aligning Diffusion Inversion Chain
Yuechen Zhang, Jinbo Xing, Eric Lo +1
Recent diffusion model advancements have enabled high-fidelity images to be generated using text prompts. However, a domain gap exists between generated images and real-world image…
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…
CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
Jinbo Xing, Menghan Xia, Yuechen Zhang +3
Speech-driven 3D facial animation has been widely studied, yet there is still a gap to achieving realism and vividness due to the highly ill-posed nature and scarcity of audio-visu…
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization
Yuechen Zhang, Zexin He, Jinbo Xing +2
Current 3D scene stylization methods transfer textures and colors as styles using arbitrary style references, lacking meaningful semantic correspondences. We introduce Reference-Ba…
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…