I’m a Ph.D. student at the Department of Computer Science and Technology, Tsinghua University (清华大学计算机科学与技术系), advised by Song-Hai Zhang (张松海). Before that, I achieved my bachelor’s degree at the School of Computer and Communication Engineering, University of Science and Technology Beijing (北京科技大学计算机与通信工程学院). During my PhD study, I had interned in Tencent AI Lab for two years, focusing on 3D digital human/head reconstruction/editing related researches, supervised by Di Kang. Now, I’m interned in the Ant Research Institute of Ant Group and still focuses on 3D digital human/head reconstruction/editing/generation, supervised by Xuan Wang.
My research interest focuses on digital humans and computer vision, including digital body/head avatar creation/editing, image/video generative models, and novel 3D representations.
Now, I am in the fourth year of my five-year Ph.D. career and will be graduating in June of 2025. If you’re looking for a digital human researcher, feel free to contact me (wangcong20@mails.tsinghua.edu.cn).
🔥 News
- 2024.07: I joined AntGroup as an intern.
- 2023.08: 🎉 Neural Point-based Volumetric Avatars was accepted by SIGRRAPH Asia 2023!
- 2023.07: 🎉 LoLep was accepted by ICCV 2023!
- 2022.07: I joined Tencent AI Lab as an intern.
- 2022.02: 🎉 MotionHint was accepted by ICRA 2022!
📝 Publications
MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing
Cong Wang, Di Kang, He-Yi Sun, Shen-Han Qian, Zi-Xuan Wang, Linchao Bao, Song-Hai Zhang
- By proposing the use of more appropriate representations for different parts of the human head and the corresponding hybrid rendering methods, we produce high-quality 3D human head avatar, and for the first time, support human head editing (i.e., texture editing and hair alteration).
Cong Wang, Di Kang, Yan-Pei Cao, Linchao Bao, Ying Shan, Song-Hai Zhang
- We propose a new surface-guided neural point representation and the corresponding rendering acceleration method to greatly improve the rendering quality of eyes and mouth interiors in 3D digital human head modeling.
LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference
Cong Wang, Yu-Ping Wang, Dinesh Manocha
- We propose to use an NN Sampler for more certain and reasonable MPI plane locations and introduce a reprojection loss to facilitate sampler learning. Additionally, we propose the block self-attention mechanism to enhance the network’s inference ability for the occluded regions.
MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints
Cong Wang, Yu-Ping Wang, Dinesh Manocha
- We introduce the motion prior of camera carriers (mainly unmanned vehicles) via a pre-trained PPNet, so that the predicted camera poses can be corrected according to the motion prior, yielding the state of art results.
- ORBBuf: A robust buffering method for remote visual SLAM, Yu-Ping Wang, Zi-xin Zou, Cong Wang, et al. IROS 2021
🎖 Honors and Awards
- 2024.07 2023 Tencent AI Lab Rhino-Bird Elite Talent, Excellence Award
- 2023.10 The Second Prize Scholarship (5,000RMB)
- 2023.09 Longhu Scholarship (5,000RMB)
- 2023.05 2023 Tencent AI Lab Rhino-Bird Elite Talent
- 2022.10 The Second Prize Scholarship (5,000RMB)
- 2022.09 Longhu Scholarship (5,000RMB)
- 2020.06 Excellent Graduate of Beijing (Top 5%)
- 2019.11 National Scholarship (8,000RMB, 1/446)
- 2019.04 the Mathematical Contest in Modeling, Meritorious Winner (Top 4%)
- 2018.11 National Scholarship (8,000RMB, 1/446)
- 2018.04 the Mathematical Contest in Modeling, Meritorious Winner (Top 4%)
- 2017.11 People’s Special Scholarship (5,000RMB, 1/145)
- 2017.11 “Guan Zhi” Scholarship (10,000RMB, 1/446)
📖 Educations
- 2020.09 - now, Ph.D. student, the Department of Computer Science and Technology, Tsinghua University, Beijing.
- 2016.09 - 2020.06, Undergraduate, the School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing.
💬 Invited Talks
- 2023.12, Oral Presentation for “Neural Point-based Volumetric Avatar: Surface-guided Neural Points for Efficient and Photorealistic Volumetric Head Avatar”, SIGGRAPH Asia 2023, Sydney, NSW, Australia.
- 2023.11, Show my paper, invited by Journal of Image and Graphics, bilibili video
- 2022.07, Show my paper, invited by BKUNYUN, bilibili video
- 2022.05, Oral Presentation for “MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints”, ICRA 2022, Philadelphia, PA, USA.
💻 Internships
- 2022.07 - 2024.07, Tencent AI Lab, Beijing.
- 2024.07 - now, AntGroup, Hangzhou.
