Ruowen Zhao
Scholar

Ruowen Zhao

Google Scholar ID: iUtnl04AAAAJ
Tsinghua University
3D VisionGenerative Model
Citations & Impact
All-time
Citations
57
 
H-index
4
 
i10-index
2
 
Publications
5
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Publications:
  • 1. NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks, arxiv, 2025
  • 2. ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding, NeurIPS, 2025 (Spotlight)
  • 3. DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning, ICCV, 2025
  • 4. FlexiDreamer: Single Image-to-3D Generation with FlexiCubes, arXiv, 2024
  • 5. BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic Scenarios, arXiv, 2023
  • 6. LODE: Locally Conditioned Eikonal Implicit Scene Completion from Sparse LiDAR, ICRA, 2023
  • Awards:
  • 1. Outstanding Graduates of Beijing in 2024
  • 2. National Scholarship in 2022
Research Experience
  • No specific work experience or research projects mentioned
Education
  • Tsinghua University, Master's student, Advisor: Prof. Jun Zhu; University of Chinese Academy of Sciences, Bachelor's degree in Computer Science, Graduated in 2024
Background
  • Research Interests: 3D and multi-modal generative models
Miscellany
  • Contact: Email, Google Scholar, Twitter, Github