Chen Wang 王琛

I am a CIS PhD student (Fall 2023 - Now) at the University of Pennsylvania, where I am advised by Prof. Lingjie Liu. I do research in computer vision and computer graphics. My research has been partly supported by Meshy AI Fellowship.

I am interning at NVIDIA Spatial Intelligence Lab in Summer 2026. I interned at Adobe Research during Summer 2025.

I completed my undergraduate and master study in CS at Tsinghua University, working with Prof. Shi-Min Hu and Prof. Song-Hai Zhang.

Selected Publications

* denotes equal contribution

tttLRM: Test-Time Training for Long Context and Autoregressive 3D Reconstruction

Chen Wang, Hao Tan, Wang Yifan, Zhiqin Chen, Yuheng Liu, Kalyan Sunkavalli, Sai Bi, Lingjie Liu^$, Yiwei Hu^$

CVPR (Highlight), 2026

Paper | Project Page | Code

PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation

Chen Wang*, Chuhao Chen*, Yiming Huang, Zhiyang Dou, Yuan Liu, Jiatao Gu, Lingjie Liu

NeurIPS, 2025

Paper | Project Page | Code

GECO🦎: Generative Image-to-3D within a SECOnd

Chen Wang, Jiatao Gu, Xiaoxiao Long, Yuan Liu, Lingjie Liu

IEEE TVCG, 2025

Paper | Project Page | Code

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation

Xuyi Meng*, Chen Wang*, Jiahui Lei, Kostas Daniilidis, Jiatao Gu, Lingjie Liu

TMLR, 2025

Paper | Project Page

DreamEditor: Text-Driven 3D Scene Editing with Neural Fields

Jingyu Zhuang*, Chen Wang*, Liang Lin, Lingjie Liu, Guanbin Li

SIGGRAPH Asia, 2023

Paper | Project Page | Code

Digging into Depth Priors for Outdoor Neural Radiance Fields

Chen Wang, Jiadai Sun, Lina Liu, Chenming Wu, Zhelun Shen, Dayan Wu, Yuchao Dai, Liangjun Zhang

ACM MM (Oral), 2023

Paper | Project Page | Code

DeepPortraitDrawing: Generating Human Body Images from Freehand Sketches

Chen Wang*, Xian Wu*, Hongbo Fu, Ariel Shamir, Song-Hai Zhang

Computer & Graphics (CAD/Graphics Oral), 2023

NeRF-SR: High-Quality Neural Radiance Fields using Super-sampling

Chen Wang, Xian Wu, Yuan-Chen Guo, Song-Hai Zhang, Yu-Wing Tai, Shi-Min Hu

ACM MM, 2022

Paper | Project Page | Code

On Rotation Gains Within and Beyond Perceptual Limitations for Seated VR

Chen Wang, Song-Hai Zhang, Yi-Zhuo Zhang, Stefanie Zollmann, Shi-Min Hu

IEEE TVCG, 2022