Yintong Shang

Your Name

About Me

I am a PhD graduate in computer science. My research focuses on the intersection of computer vision and graphics, specifically on 3D reconstruction and physics-based content generation. I aspire to pursue a career in the animation and gaming industry. contributing to the development of realistic and immersive visual experiences.

Projects

ElastoGen

ElastoGen: 4D Generative Elastodynamics

AAAI 2026 (oral) | webpage | arXiv

Yutao Feng*, Yintong Shang*, Xiang Feng*, Lei Lan, Shandian Zhe, Tianjia Shao, Hongzhi Wu, Kun Zhou, Hao Su, Chenfanfu Jiang, Yin Yang

ARM: Appearance Reconstruction Model for Relightable 3D Generation

CVPR 2025 (highlight) | webpage | arXiv

Xiang Feng*, Chang Yu*, Zoubin Bi*, Yintong Shang, Feng Gao, Hongzhi Wu, Kun Zhou, Chenfanfu Jiang, Yin Yang

Gaussian Splashing

Gaussian Splashing: Dynamic Fluid Synthesis with Gaussian Splatting

CVPR 2025 | webpage | arXiv

Yutao Feng*, Xiang Feng*, Yintong Shang, Ying Jiang, Chang Yu, Zeshun Zong, Tianjia Shao, Hongzhi Wu, Kun Zhou, Chenfanfu Jiang, Yin Yang

PIE-NeRF

PIE-NeRF🍕: Physics-based Interactive Elastodynamics with NeRF

CVPR 2024 | webpage | arXiv

Yutao Feng*, Yintong Shang*, Xuan Li, Tianjia Shao, Chenfanfu Jiang, Yin Yang

* for equal contributions.

Education

University of Utah

PhD in Computer Science, advisor Prof. Yin Yang

2022.8 - 2025.5

Specialized in Computer Graphics and Computer Vision. GPA: 3.9/4.0

University of Science and Technology of China

Bachelor in Electronic Engineering

2018.9 - 2022.6

Relevant coursework: Algorithms, Data Structures. GPA: 3.7/4.3

Skills

Programming

  • C++
  • Python
  • CUDA
  • C#

Computer Graphics

  • Numerical Optimization
  • Newton's Method
  • Collision Handling
  • Physics-based Simulation

Computer Vision

  • 3D Reconstruction
  • Generative AI
  • 3D Gaussian Splatting (3DGS)
  • Differentiable Rendering

Machine Learning

  • PyTorch
  • Deep Learning Optimization
  • Neural Radiance Fields (NeRFs)
  • Convolutional Neural Networks

Contact