| CARVIEW |
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| I'm a principal research scientist at the Deep Imagination Research (DIR) group at NVIDIA, working on computer vision, machine learning, and computer graphics. |
News
Check out our Cosmos-Predict1 and Cosmos-Transfer1 papers on the project website!
I am serving as an area chair at CVPR and ICLR 2025.
Selected Publications
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NVIDIA: Ting-Chun Wang (core contributor) et al.
arXiv, 2025
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NVIDIA: Ting-Chun Wang (core contributor) et al.
arXiv, 2025
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Yu Zeng, Vishal M. Patel, Haocheng Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
@inproceedings{zeng2024jedi,
title={JeDi: Joint-image Diffusion Models for Finetuning-free Personalized Text-to-image Generation},
author={Zeng, Yu and Patel, Vishal M and Wang, Haochen and Huang, Xun and Wang, Ting-Chun and Liu, Ming-Yu and Balaji, Yogesh},
booktitle={CVPR},
year={2024}
}
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Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman
International Conference on Computer Vision (ICCV), 2023
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Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu
International Conference on Computer Vision (ICCV), 2023
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Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Conference on Neural Information Processing Systems (NeurIPS), 2022
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Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras
Conference on Neural Information Processing Systems (NeurIPS), 2022
project | paper | code | bibtex
@inproceedings{brooks2022generating,
title={Generating Long Videos of Dynamic Scenes},
author={Brooks, Tim and Hellsten, Janne and Aittala, Miika and Wang, Ting-Chun and Aila, Timo and Lehtinen, Jaakko and Liu, Ming-Yu and Efros, Alexei A and Karras, Tero},
booktitle=NeurIPS,
year={2022}
}
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Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang
ACM Transactions on Graphics (SIGGRAPH Asia), 2022
project | paper | YouTube | demo | bibtex
@article{yeh2022learning,
title={Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation},
author={Yu-Ying Yeh and Koki Nagano and Sameh Khamis and Jan Kautz and Ming-Yu Liu and Ting-Chun Wang},
journal={ACM Transactions on Graphics (TOG)},
year={2022}
}
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Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
European Conference on Computer Vision (ECCV), 2022
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Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
@article{liu2022partial,
title={Partial Convolution for Padding, Inpainting, and Image Synthesis},
author={Liu, Guilin and Dundar, Aysegul and Shih, Kevin J. and Wang, Ting-Chun and Reda, Fitsum A. and Sapra, Karan and Yu, Zhiding and Yang, Xiaodong and Tao, Andrew and Catanzaro, Bryan},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2022},
}
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Ting-Chun Wang, Arun Mallya, Ming-Yu Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (oral presentation)
project | paper | YouTube | Talk | Slides | Poster | bibtex
@inproceedings{wang2021facevid2vid,
author = {Ting-Chun Wang and Arun Mallya and Ming-Yu Liu},
title = {One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year = {2021},
}
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Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro
ACM Transactions on Graphics, 2021 (provisionally accepted)
@article{liu2021transposer,
author = {Guilin Liu and Rohan Taori and Ting-Chun Wang and Zhiding Yu and Shiqiu Liu
and Fitsum Reda and Karan Sapra and Andrew Tao and Bryan Catanzaro},
title = {Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter},
journal = {ACM Transactions on Graphics},
year = {2021}
}
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Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya
Proceedings of The IEEE, 2021
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Arun Mallya*, Ting-Chun Wang*, Karan Sapra, Ming-Yu Liu (*equal contribution)
European Conference on Computer Vision (ECCV), 2020
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Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
@article{dundar2020domain,
title={Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation},
author={Aysegul Dundar and Ming-Yu Liu and Zhiding Yu and Ting-Chun Wang and John Zedlewski and and Jan Kautz},
booktitle={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
year={2020}
}
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Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
Conference on Neural Information Processing Systems (NeurIPS), 2019
project | paper | github | YouTube | bibtex
@inproceedings{wang2019fewshotvid2vid,
title={Few-shot Video-to-Video Synthesis},
author={Ting-Chun Wang and Ming-Yu Liu and Andrew Tao and Guilin Liu and Jan Kautz and Bryan Catanzaro},
booktitle={Conference on Neural Information Processing Systems (NeurIPS)},
year={2019}
}
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Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
Conference on Neural Information Processing Systems (NeurIPS), 2019
paper | github | YouTube | bibtex
@inproceedings{lee2019dancing2music,
title={Dancing to Music},
author={Hsin-Ying Lee and Xiaodong Yang and Ming-Yu Liu and Ting-Chun Wang and Yu-Ding Lu and Ming-Hsuan Yang and Jan Kautz},
booktitle={Conference on Neural Information Processing Systems (NeurIPS)},
year={2019}
}
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Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (best paper finalist)
project | paper | github | YouTube | bibtex
@inproceedings{park2019SPADE,
title={Semantic Image Synthesis with Spatially-Adaptive Normalization},
author={Park, Taesung and Liu, Ming-Yu and Wang, Ting-Chun and Zhu, Jun-Yan},
booktitle={Proceedings of the IEEE Conference on
Computer Vision and Pattern Recognition (CVPR)},
year={2019}
}
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Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro
Conference on Neural Information Processing Systems (NeurIPS), 2018
project | paper | arXiv | github | YouTube | bibtex
@inproceedings{wang2018vid2vid,
author = {Ting-Chun Wang and Ming-Yu Liu and Jun-Yan Zhu and Guilin Liu
and Andrew Tao and Jan Kautz and Bryan Catanzaro},
title = {Video-to-Video Synthesis},
booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
year = {2018},
}
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Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro
arXiv preprint arXiv:1811.11718
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Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz
arXiv preprint arXiv:1807.09384
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Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
European Conference on Computer Vision (ECCV), 2018
project | arXiv | YouTube | bibtex
@inproceedings{liu2018image,
author = {Liu, Guilin and Reda, Fitsum A and Shih, Kevin J
and Wang, Ting-Chun and Tao, Andrew and Catanzaro, Bryan},
title = {Image inpainting for irregular holes using partial convolutions},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
year = {2018},
}
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Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (oral presentation)
project | paper | arXiv | github | YouTube | slides | bibtex
@inproceedings{wang2018pix2pixHD,
author = {Ting-Chun Wang and Ming-Yu Liu and Jun-Yan Zhu
and Andrew Tao and Jan Kautz and Bryan Catanzaro},
title = {High-Resolution Image Synthesis and Semantic Manipulation
with Conditional GANs},
booktitle = {Proceedings of the IEEE Conference on
Computer Vision and Pattern Recognition (CVPR)},
year = {2018},
}
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Ting-Chun Wang
PhD Thesis, 2017
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Professional Activities
Tutorial/Workshop Co-organizer
CVPR 2023: AI for Content Creation Workshop
CVPR 2022: AI for Content Creation Workshop
ECCV 2020: Tutorial on Accelerating Computer Vision with Mixed Precision
ICCV 2019: Tutorial on Accelerating Computer Vision with Mixed Precision
ICIP 2019: Tutorial on Image-to-Image Translation
Conference Area Chair: CVPR, ECCV, ICLR, WACV
Conference Reviewer: CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia, Eurographics, NeurIPS, ICLR, ICRA
Journal Reviewer: TPAMI, IJCV, TOG, TIP, TMM, TVCG, TCSVT, CVIU
Awards
Best in Show Award and Audience Choice Award, RealTimeLive, SIGGRAPH 2019
Best Paper Finalist, CVPR 2019
1st place, Domain Adaptation for Semantic Segmentation Competition, WAD Challenge, CVPR 2018
NTECH Best Paper Award, NVIDIA 2018
Pioneer Research Award, NVIDIA 2018
Software
Imaginaire: a common codebase for training generative models.
Few-shot vid2vid: Few-shot video-to-video translation.
SPADE: Semantic image synthesis on diverse datasets including Flickr and coco.
vid2vid: High-resolution video-to-video translation.
pix2pixHD: High-resolution image-to-image translation.
Talks
Face-vid2vid: One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing
CVPR (2021)
Few-Shot Video-to-Video Synthesis
ICCV Workshop on Advances in Image Manipulation (2019)
Mixed-Precision Training for pix2pixHD
ICCV Tutorial on Accelerating Computer Vision with Mixed Precision (2019)
ICIP Tutorial on Image-to-Image Translation (2019)
CVPR Workshop on Deep Learning for Content Creation (2019)
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs (pix2pixHD)
CVPR (2018)
Beyond Photo-Consistency: Shape, Reflectance, and Material Estimation Using Light-Field Cameras
Dissertation talk (2017)





















