Wenzheng Chen
Scholar

Wenzheng Chen

Google Scholar ID: KzhR_TsAAAAJ
Peking University
Computational Photography3D Vision
Citations & Impact
All-time
Citations
3,536
 
H-index
21
 
i10-index
28
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • 1. Work on differentiable rendering showcased at NVIDIA GTC, presented by CEO Jensen Huang, and turned into an Omniverse product.
  • 2. Work featured multiple times by Two Minute Papers channel, garnering millions of views (DIB-R, GET3D, NVdiffrec).
  • 3. Structured light work won the ICCP 2021 Best Poster Award.
  • 4. NLOS work exhibited at Princeton Art of Science Exhibition.
  • 5. Published multiple papers at conferences such as ICCV 2025 and CVPR 2025.
Research Experience
  • Currently a tenure-track Assistant Professor at Wangxuan Institute of Computer Technology, Peking University, also affiliated with the Visual Computing and Learning Lab, collaborating closely with Prof. Baoquan Chen, Prof. Libin Liu, Prof. Mengyu Chu, and Prof. Pengshuai Wang. Before joining Peking University, he was a research scientist at NVIDIA Toronto AI Lab.
Education
  • Ph.D.: University of Toronto; Master's and Bachelor's: Shandong University
Background
  • Research interests: Computational Photography and 3D Vision. Professional field: Utilizing various imaging systems (such as digital camera, LiDAR, structured light, and SPAD) to perceive the world and predict its corresponding 3D attributes, such as 3D geometry, texture, surface material, and environment light. Particularly interested in differentiating imaging systems and embedding them within deep learning frameworks.
Miscellany
  • Actively looking for interns, Masters, and PhDs. Feel free to contact if interested in his research or potential collaborations.