Chen Wang 王琛

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

News

• (05/2025) Join Adobe Research for summer internship. Welcome to connect at Bay Area.
• (04/2024) We have created an awesome list of papers on 4D generation.
• (01/2024) Check out my GitHub Repo on a list of papers on "Diffusion Models for 3D Generation" and the survey paper.

Selected Publications

* denotes equal contribution

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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

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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

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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

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

outdoor-nerf-depth

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

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

rotation-gains

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

Services

Conference Reviewer: CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS, SIGGRAPH Asia, AAAI, ACMMM, 3DV, WACV, PG
Journal Reviewer: PAMI, ToG, TVCG, TIP, CVMJ

Honors and Awards

2025 Meshy AI Fellowship
2023 Donor-named Fellowship, UPenn
2022 National Scholarship
2022 Siebel Scholarship