Xiaodan Du

I am a Ph.D. student at Toyota Technological Institute at Chicago (TTIC), working on computer vision and machine learning. I am fortunate to be advised by Professor Greg Shakhnarovich. My main research interests are generative models, 3D generation and editing.

Before my study at TTIC, I have received an MS degree in Computer Science, advised by Professor Svetlana Lazebnik; and a BS degree in Civil Engineering, both from University of Illinois Urbana-Champaign (UIUC).

I am also an avid collector of 1800s to 1900s European historical and commemorative Medals. Here are a small group of my finest collections.

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Representative papers are highlighted.

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Haochen Wang*, Xiaodan Du*, Jiahao Li*, Raymond A. Yeh, Greg Shakhnarovich,
project page / arXiv / code
CVPR, 2023

Generating 3D objects from 2D diffusion models by chaining scores with NeRF gradients.

Text-Free Learning of a Natural Language Interface for Pretrained Face Generators
Xiaodan Du, Raymond A. Yeh, Nicholas Kolkin, Eli Shechtman, Greg Shakhnarovich,
arXiv / code

We propose Fast text2StyleGAN, a natural language interface that adapts pre-trained GANs for text-guided human face synthesis.

This website's source code is borrowed from here.