Chen Wang
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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 interests are computer graphics and computer vision, with a focus on 3D/4D generative models and neural 3D representaions. My research is partly supported by Meshy AI Fellowship.

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

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Selected Publications

* denotes equal contribution

boot
Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation

Chuhao Chen, Zhiyang Dou, Chen Wang, Yiming Huang, Anjun Chen, Qiao Feng, Jiatao Gu, Lingjie Liu

CVPR, 2025

Coming Soon

ProTracker: Probabilistic Integration for Robust and Accurate Point Tracking

Tingyang Zhang, Chen Wang, Zhiyang Dou, Qingzhe Gao, Jiahui Lei, Baoquan Chen, Lingjie Liu

Arxiv, 2025

Paper | Project Page | Code

boot
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

Arxiv, 2025

Paper | Project Page

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

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

Arxiv, 2024

Paper | Project Page | Code

boot
Data-free Distillation of Denoising Diffusion Models with Bootstrapping

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

International Conference on Machine Learning, 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 Conference Papers, 2023

Paper | Project Page | Code

VMesh: Hybrid Volume-Mesh Representation for Efficient View Synthesis

Yuan-Chen Guo, Yan-Pei Cao, Chen Wang, Yu He, Ying Shan, Xiaohu Qie, Song-Hai Zhang

SIGGRAPH Asia Conference Papers, 2023

Paper | Project Page
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 International Conference on Multimedia (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 Transactions on Pattern Analysis and Machine Intelligence, 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 International Conference on Multimedia, 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 Transactions on Visualization and Computer Graphics, 2022

Services

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

Honors and Awards

  • 2025 Meshy AI Fellowship
  • 2022 National Scholarship
  • 2022 Siebel Scholarship