Jack (Zihan) Zhang

(张子涵)

Bio

I am a second-year CS PhD student at Brown University advised by Prof. Adriana Schulz. My research focuses on the intersection of deep learning and geometry-based methods for reconstructing and generating 2D and 3D assets. Recently, I have been working on generating structured and editable geometries with CAD and shape grammars.

Previously, I completed my undergraduate studies in Math & CS at the University of Chicago, where I was a research assistant at 3DL advised by Prof. Rana Hanocka, working on problems in motion synthesis with diffusion models and GANs.

Outside of research, I play (too much) tennis, I also enjoy hiking, studying history (particularly Chinese art history and Russian history), and photography.

Publications

TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis Teaser Image

TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis

Zihan Zhang, Richard Liu, Kfir Aberman, Rana Hanocka

SIGGRAPH 2024

Paper Project Code
GANimator: Neural Motion Synthesis from a Single Sequence Teaser Image

GANimator: Neural Motion Synthesis from a Single Sequence

Peizhuo Li, Kfir Aberman, Zihan Zhang, Rana Hanocka, Olga Sorkine-Hornung

SIGGRAPH 2022

Paper Project Code
COVID-19 Tweets of Governors and Health Experts: Deaths, Masks, and The Economy Teaser Image

COVID-19 Tweets of Governors and Health Experts: Deaths, Masks, and The Economy

Tim Hua, Chris Kim, Zihan Zhang, Alex Lyford

Journal of Student Research 2021

Paper