Chen Wang 王琛

I am a CIS PhD student at the University of Pennsylvania starting from Fall 2023, 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.

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

I am actively looking for an internship in Summer 2025. Please contact me if you find we are a good fit.

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News

• (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

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

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

Arxiv, 2024

Paper | Project Page | Code

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: 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: 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

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

2022 National Scholarship
2022 Siebel Scholarship