29 citations · 40 across the 8 of their papers we have counts for
8 papers
Zero-Shot Video Translation and Editing with Frame Spatial-Temporal Correspondence
Shuai Yang, Junxin Lin, Yifan Zhou +2
The remarkable success in text-to-image diffusion models has motivated extensive investigation of their potential for video applications. Zero-shot techniques aim to adapt image di…
GroupDiff: Diffusion-based Group Portrait Editing
Yuming Jiang, Nanxuan Zhao, Qing Liu +4
Group portrait editing is highly desirable since users constantly want to add a person, delete a person, or manipulate existing persons. It is also challenging due to the intricate…
Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment
Li Siyao, Tianpei Gu, Zhitao Yang +5
We introduce a novel task within the field of 3D dance generation, termed dance accompaniment, which necessitates the generation of responsive movements from a dance partner, the "…
FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
Shuai Yang, Yifan Zhou, Ziwei Liu +1
The remarkable efficacy of text-to-image diffusion models has motivated extensive exploration of their potential application in video domains. Zero-shot methods seek to extend imag…
Deep Geometrized Cartoon Line Inbetweening
Li Siyao, Tianpei Gu, Weiye Xiao +3
We aim to address a significant but understudied problem in the anime industry, namely the inbetweening of cartoon line drawings. Inbetweening involves generating intermediate fram…
DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields
Junzhe Zhang, Yushi Lan, Shuai Yang +5
In this paper, we address the challenging problem of 3D toonification, which involves transferring the style of an artistic domain onto a target 3D face with stylized geometry and…
SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
Zhongang Cai, Wanqi Yin, Ailing Zeng +10
Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion capture with numerous applications. Despite encouraging progress, current state-of-the-art me…
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
Jiahao Xie, Wei Li, Xiangtai Li +3
We present MosaicFusion, a simple yet effective diffusion-based data augmentation approach for large vocabulary instance segmentation. Our method is training-free and does not rely…