activity
20232025
most citedVideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning

Mingxuan Cui, Qing Guo, Yuyi Wang +5

3D Gaussian Splatting (3DGS) has emerged as a powerful and efficient 3D representation for novel view synthesis. This paper extends 3DGS capabilities to inpainting, where masked ob…

cs.CV2024★ 1 cited

VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models

Tao Wu, Yong Zhang, Xiaodong Cun +6

Zero-shot customized video generation has gained significant attention due to its substantial application potential. Existing methods rely on additional models to extract and injec…

cs.CV2024

CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities

Tao Wu, Yong Zhang, Xintao Wang +5

Customized video generation aims to generate high-quality videos guided by text prompts and subject's reference images. However, since it is only trained on static images, the fine…

cs.CV2024

SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model

Tao Wu, Xuewei Li, Zhongang Qi +4

Controllable spherical panoramic image generation holds substantial applicative potential across a variety of domains.However, it remains a challenging task due to the inherent sph…

cs.CV2023

Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer

Yaoting Wang, Weisong Liu, Guangyao Li +3

Never having seen an object and heard its sound simultaneously, can the model still accurately localize its visual position from the input audio? In this work, we concentrate on th…