Yongwei Chen
As a Master's student (by research) at the
South China University of Technology,
I am fortunate to be working under the tutelage of Professor
Kui Jia.
My primary research interest is in the exciting and constantly-evolving field of
3D vision and graphics, with a specific focus on deep learning for physically
based rendering.
I earned my Bachelor's degree from the same university, where I honed my skills
and passion for this field. Recently, I have been actively engaged in developing
an AI artist capable of generating 3D assets autonomously, including materials,
shapes, motions, and other relevant parameters. This project is a fascinating and
challenging undertaking, and our first attempt in this direction was accepted by
NeurIPS 2022. Our solution is designed to stylize arbitrary meshes according to
given text prompts, demonstrating our proficiency and innovation in this space.
Email / Google Scholar / CV
News
Reasearch
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen*, Yongwei Chen*, Ningxin Jiao, Kui Jia
* equal contribution
Preprint | Paper | Project Page | Code | Video
TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia
NeurIPS 2022 | Paper | Project Page | Code
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap
Yongwei Chen*, Zihao Wang*, Longkun Zou, Ke Chen, Kui Jia
ECCV 2022 | Paper | Code
Deep Optimized Priors for 3D Shape Modeling and Reconstruction
Mingyue Yang*, Yuxin Wen*, WeiKai Chen, Yongwei Chen, Kui Jia
CVPR 2021 | Project Page |
Paper
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Yabin Zhang, Jiehong Lin,
Chenhang He, Yongwei Chen,
Kui Jia, Lei Zhang
Preprint | Paper | Code
