7 citations · 15 across the 15 of their papers we have counts for
6 papers · 1 filter
DREAM-Talk: Diffusion-based Realistic Emotional Audio-driven Method for Single Image Talking Face Generation
Chenxu Zhang, Chao Wang, Jianfeng Zhang +7
The generation of emotional talking faces from a single portrait image remains a significant challenge. The simultaneous achievement of expressive emotional talking and accurate li…
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method
Jiachun Pan, Hanshu Yan, Jun Hao Liew +2
Training-free guided sampling in diffusion models leverages off-the-shelf pre-trained networks, such as an aesthetic evaluation model, to guide the generation process. Current trai…
AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text
Jianfeng Zhang, Xuanmeng Zhang, Huichao Zhang +4
We study the problem of creating high-fidelity and animatable 3D avatars from only textual descriptions. Existing text-to-avatar methods are either limited to static avatars which…
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew +5
This paper studies the human image animation task, which aims to generate a video of a certain reference identity following a particular motion sequence. Existing animation works t…
XAGen: 3D Expressive Human Avatars Generation
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew +2
Recent advances in 3D-aware GAN models have enabled the generation of realistic and controllable human body images. However, existing methods focus on the control of major body joi…
GETAvatar: Generative Textured Meshes for Animatable Human Avatars
Xuanmeng Zhang, Jianfeng Zhang, Rohan Chacko +4
We study the problem of 3D-aware full-body human generation, aiming at creating animatable human avatars with high-quality textures and geometries. Generally, two challenges remain…