7 papers
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…
Consistent Human Image and Video Generation with Spatially Conditioned Diffusion
Mingdeng Cao, Chong Mou, Ziyang Yuan +4
Consistent human-centric image and video synthesis aims to generate images or videos with new poses while preserving appearance consistency with a given reference image, which is c…
StyleMaster: Stylize Your Video with Artistic Generation and Translation
Zixuan Ye, Huijuan Huang, Xintao Wang +3
Style control has been popular in video generation models. Existing methods often generate videos far from the given style, cause content leakage, and struggle to transfer one vide…
NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model
Jinpeng Liu, Jiale Xu, Weihao Cheng +4
We introduce NovelGS, a diffusion model for Gaussian Splatting (GS) given sparse-view images. Recent works leverage feed-forward networks to generate pixel-aligned Gaussians, which…
MagicStick: Controllable Video Editing via Control Handle Transformations
Yue Ma, Xiaodong Cun, Sen Liang +5
Text-based video editing has recently attracted considerable interest in changing the style or replacing the objects with a similar structure. Beyond this, we demonstrate that prop…
StyleAdapter: A Unified Stylized Image Generation Model
Zhouxia Wang, Xintao Wang, Liangbin Xie +4
This work focuses on generating high-quality images with specific style of reference images and content of provided textual descriptions. Current leading algorithms, i.e., DreamBoo…