About

Welcome to my homepage! My name is Xun Huang (黄勋 in Chinese, pronounced as /shuun hwang/). I am a research scientist at NVIDIA. I obtained my PhD from the Department of Computer Science at Cornell University, affiliated with Cornell Tech at NYC. I was advised by Professor Serge Belongie. My research focuses on deep generative models and applying them to re-create the visual world.

During PhD, my research was supported by Adobe Research Fellowship (2019), Snap Research Fellowship (2019), and NVIDIA Graduate Fellowship (2018).

DiffCollage: Parallel Generation of Large Content with Diffusion Models
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
CVPR 2023
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Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
CVPR 2023
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eDiff-I: Text-to-Image Diffusion Models with Ensemble of Expert Denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Qinsheng Zhang, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu
arXiv 2022
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Multimodal Conditional Image Synthesis with Product-of-Experts GANs
Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
ECCV 2022
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Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Proceedings of the IEEE 2021
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PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang*, Xun Huang*, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan (*equal contribution)
ICCV 2019 (Oral)
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Few-shot Unsupervised Image-to-Image Translation
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
ICCV 2019
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Multimodal Unsupervised Image-to-Image Translation
Xun Huang, Ming-Yu Liu, Serge Belongie, Jan Kautz
ECCV 2018
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Learning to Evaluate Image Captioning
Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge Belongie
CVPR 2018
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Controllable Video Generation with Sparse Trajectories
Zekun Hao, Xun Huang, Serge Belongie
CVPR 2018
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Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang, Serge Belongie
ICCV 2017 (Oral)
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Stacked Generative Adversarial Networks
Xun Huang, Yixuan Li, Omid Poursaeed, John Hopcroft, Serge Belongie
CVPR 2017
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Top-Down Learning for Structured Labeling with Convolutional Pseudoprior
Saining Xie*, Xun Huang*, Zhuowen Tu (*equal contribution)
ECCV 2016
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SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks
Xun Huang, Chengyao Shen, Xavier Boix, Qi Zhao
ICCV 2015
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Journal reviewer: TPAMI, IJCV, ToG, TIP, TVCG, CVIU, TMM, TNNLS, …

Conference reviewer: NeurIPS, ICML, ICLR, SIGGRAPH, SIGGRAPH Asia, ICCV, CVPR, ECCV, …

Teaching Assistant:

• Fall 2017 and 2019, CS5785 Applied Machine Learning.
• Fall 2016, CS4320 Introduction to Database Systems.