Yunzhi Zhang
Scholar

Yunzhi Zhang

Google Scholar ID: WfZ1zx4AAAAJ
Stanford University
Computer VisionReinforcement Learning
Citations & Impact
All-time
Citations
1,618
 
H-index
14
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Controllable Video Synthesis via Variational Inference (arXiv Preprint, 2025)
  • Product of Experts for Visual Generation (arXiv Preprint, 2025)
  • Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous Driving (NeurIPS, 2025)
  • The Scene Language: Representing Scenes with Programs, Words, and Embeddings (CVPR, 2025, Highlight)
  • Birth and Death of a Rose (CVPR, 2025, Oral)
  • Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset (CVPR, 2025, Highlight)
  • Diffusion Self-Distillation for Zero-Shot Customized Image Generation (CVPR, 2025)
  • 3D Congealing: 3D-Aware Image Alignment in the Wild (ECCV, 2024)
  • Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos (ECCV, 2024)
  • Learning the 3D Fauna of the Web (CVPR, 2024)
  • ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image (CVPR, 2024)
  • SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild (partially published)
Research Experience
  • Conducted doctoral research at Stanford University, involved in multiple projects including controllable video synthesis, product of experts for visual generation, etc.
Education
  • Ph.D. in Computer Science from Stanford University, advised by Jiajun Wu; B.A. in Computer Science and Pure Mathematics from UC Berkeley, received advice from Pieter Abbeel and Lerrel Pinto while doing research at the Berkeley Artificial Intelligence Lab.
Background
  • A Ph.D. student in the Computer Science Department at Stanford University, with research interests in artificial intelligence, computer vision, and machine learning. Affiliated with the Stanford Artificial Intelligence Laboratory and the Stanford Vision and Learning Lab.
Miscellany
  • Email: yzzhang at cs dot stanford dot edu / Google Scholar / Github / Twitter
Co-authors
0 total
Co-authors: 0 (list not available)