25 citations · 27 across the 6 of their papers we have counts for
7 papers
Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets
Jiashi Feng, Xiu Li, Jing Lin +25
Developing embodied AI agents requires scalable training environments that balance content diversity with physics accuracy. World simulators provide such environments but face dist…
SMPL Normal Map Is All You Need for Single-view Textured Human Reconstruction
Wenhao Shen, Gangjian Zhang, Jianfeng Zhang +4
Single-view textured human reconstruction aims to reconstruct a clothed 3D digital human by inputting a monocular 2D image. Existing approaches include feed-forward methods, limite…
ProbDiffFlow: An Efficient Learning-Free Framework for Probabilistic Single-Image Optical Flow Estimation
Mo Zhou, Jianwei Wang, Xuanmeng Zhang +5
This paper studies optical flow estimation, a critical task in motion analysis with applications in autonomous navigation, action recognition, and film production. Traditional opti…
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…
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…
Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis
Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao +3
3D-aware image synthesis aims to generate images of objects from multiple views by learning a 3D representation. However, one key challenge remains: existing approaches lack geomet…