Scholar
Zhengqin Li
Google Scholar ID: Nxc2RbQAAAAJ
Meta
Citations & Impact
Citations
2,160
H-index
17
i10-index
19
Publications
20
Co-authors
29
list available
Publications
Resume (English only)
Academic Achievements
- 4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos, NeurIps 2025 (Spotlight presentation)
- DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction from Monocular Video, NeurIps 2025
- Monocular Online Reconstruction with Enhanced Detail Preservation, SIGGRAPH 2025
- Large Inverse Rendering Model For Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields, CVPR 2025
- Digital Twin Catalog: A Large-scale Photorealistic 3D Object Digital Twin Dataset, CVPR 2025 (Highlight presentation)
- IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images, CVPR 2025
- ReplaceAnything3D: Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields, NeurIps 2024
- TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion, CVPR 2024
- NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs, CVPR 2024
- Spatiotemporally Consistent HDR Indoor Lighting Estimation, ACM Transaction on Graphics (Present in SIGGRAPH Asia 2023)
- Efficient Graphics Representation with Differentiable Indirection, SIGGRAPH Asia 2023 (Conference track)
- Neural-PBIR Reconstruction of Shape, Material, and Illumination, ICCV 2023 (Best relighting results on the Stanford-ORB dataset)
- Physically-based editing of indoor scene lighting from a single image, ECCV 2022 (Oral presentation)
Research Experience
- Research Scientist at Meta Reality Labs; Internships at Meta.
Education
- Ph.D. from University of California, San Diego, advised by Prof. Manmohan Chandraker.
Background
- Research Interests: 3D foundation models and feed-forward 3D reconstruction; Professional Field: Computer Vision and Graphics.
Miscellany
- Personal Email: lizhengqin2012-at-gmail-dot-com; Company Email: zhl-at-meta-dot-com
