Scholar
Chong Zeng
Google Scholar ID: 4dID7zIAAAAJ
Stanford University
Citations & Impact
Citations
841
H-index
7
i10-index
7
Publications
11
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Awarded the Stanford Graduate Fellowship in April 2025
- Paper 'RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination' accepted by SIGGRAPH 2025
- Published 'DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation' at SIGGRAPH 2024
- Co-authored 'MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model', accepted to NeurIPS 2024 (Oral Presentation)
- Contributed to multiple influential works in 3D generation and rendering, including One-2-3-45++ (CVPR 2024), Zero123++ (arXiv 2023), GS³ (SIGGRAPH Asia 2024), and NRHints (SIGGRAPH 2023)
Background
- PhD student in Computer Science at Stanford University
- Primary research interests lie in Computer Graphics and 3D Vision
- Focuses on developing Neural-native Graphics Pipelines that achieve high-quality, scalability, and generalizability
- Aims to create foundational components for comprehensive world models
- Earlier work centered on data-driven approaches for reconstructing and generating appearance and geometry of digital assets
