Chen Wang 王琛

I am a CIS PhD student (Fall 2023 - Now) at the University of Pennsylvania, where I have the pleasure to work with Prof. Lingjie Liu. I am affiliated with the Graphics Lab and GRASP lab. My research is partly supported by Meshy AI Fellowship.

I am interested in Generative AI and its applications, including but not limited to 3D vision and computer graphics.

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

Email CV Google Scholar

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

boot

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

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

Arxiv, 2025

Paper | Project Page

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

boot

Data-free Distillation of Denoising Diffusion Models with Bootstrapping

Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh Susskind

ICML, 2024

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

structnerf

StructNeRF: Neural Radiance Fields for Indoor Scenes with Structural Hints

Zheng Chen, Chen Wang, Yuan-Chen Guo, Song-Hai Zhang

IEEE TPAMI, 2023

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