Yintong Shang

I am a PhD student in computer graphics, advised by Prof. Yin Yang at the University of Utah since Fall 2022. 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.

resume[pdf]

Publication

ElastoGen: 4D Generative Elastodynamics (arXiv) 2024.5
Yutao Feng, Yintong Shang, Xiang Feng, Lei Lan, Shandian Zhe, Tianjia Shao, Hongzhi Wu, Kun Zhou, Hao Su, Chenfanfu Jiang, Yin Yang

Gaussian Splashing: Dynamic Fluid Synthesis with Gaussian Splatting (arXiv) 2024.1
Yutao Feng, Xiang Feng, Yintong Shang, Ying Jiang, Chang Yu, Zeshun Zong, Tianjia Shao, Hongzhi Wu, Kun Zhou, Chenfanfu Jiang, Yin Yang

PIE-NeRF🍕: Physics-based Interactive Elastodynamics with NeRF (CVPR 2024) 2023.11
Yutao Feng, Yintong Shang, Xuan Li, Tianjia Shao, Chenfanfu Jiang, Yin Yang

Education

PhD in Computing at University of Utah, 2022-2027(expected)

Bachelor of Electronic Engineering at University of Science and Technology of China, 2018-2022

Skills

• Programming: C++, Python, PyTorch, CUDA, Warp Language, C#, MATLAB.
• Computer Graphics (CG): physics-based simulation (PBS), Newton's method, Projective Dynamics (PD), numerical optimization, collision handling, soft/rigid body simulation, cloth simulation
• Computer Vision (CV): 3D reconstruction, differentiable rendering, neural implicit representations (NeRF, Gaussian Splatting), parametric human body and face model, generative AI.
• Machine Learning (ML): neural networks (NN), deep learning.

Contact

e-mail: shayito_ AT outlook DOT com