Ting-Chun Wang's Homepage

Ting-Chun Wang

Principal Research Scientist

NVIDIA

Santa Clara, CA

Email:

tingchunw at nvidia dot com

I'm a principal research scientist at the Deep Imagination Research (DIR) group at NVIDIA, working on computer vision, machine learning, and computer graphics.
I received my PhD from University of California, Berkeley, advised by Professor Ravi Ramamoorthi and Alexei A. Efros.
My recent research focus is on using generative models to synthesize realistic images and videos, with applications to rendering, visual manipulations and beyond. See our NVIDIA Picasso (Edify) page.

News

I am serving as an area chair in ECCV 2024.
I served as an area chair in ICLR 2024.
Two papers accepted at ICCV 2023!
I am co-organizing the AI4CC workshop at CVPR 2023.

Selected Publications

	DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman International Conference on Computer Vision (ICCV), 2023 project \| paper \| code \| bibtex @inproceedings{karras2023dreampose, title={{Dreampose: Fashion image-to-video synthesis via stable diffusion}}, author={Karras, Johanna and Holynski, Aleksander and Wang, Ting-Chun and Kemelmacher-Shlizerman, Ira}, booktitle={ICCV}, year={2023} }
	SPACE: Speech-driven Portrait Animation with Controllable Expression Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu International Conference on Computer Vision (ICCV), 2023 project \| paper \| bibtex @inproceedings{gururani2022SPACE, title={{SPACE: Speech-driven Portrait Animation with Controllable Expression}}, author={Siddharth Gururani and Arun Mallya and Ting-Chun Wang and Rafael Valle and Ming-Yu Liu}, booktitle={ICCV}, year={2023} }
	Implicit Warping for Animation with Image Sets Arun Mallya, Ting-Chun Wang, Ming-Yu Liu Conference on Neural Information Processing Systems (NeurIPS), 2022 project \| paper \| bibtex @inproceedings{mallya2022implicit, title={{Implicit Warping for Animation with Image Sets}}, author={Arun Mallya and Ting-Chun Wang and Ming-Yu Liu}, booktitle={NeurIPS}, year={2022} }
	Generating Long Videos of Dynamic Scenes 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} }
	Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation 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} }
	Multimodal Conditional Image Synthesis with Product-of-Experts GANs Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu European Conference on Computer Vision (ECCV), 2022 project \| paper \| YouTube \| demo \| bibtex @inproceedings{huang2022poegan, title={Multimodal Conditional Image Synthesis with Product-of-Experts {GANs}}, author={Xun Huang and Arun Mallya and Ting-Chun Wang and Ming-Yu Liu}, booktitle={ECCV}, year={2022} }
	Partial Convolution for Padding, Inpainting, and Image Synthesis 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 paper \| bibtex @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}, }
	One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing 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}, }
	Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter 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) paper \| YouTube \| bibtex @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} }
	Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya Proceedings of The IEEE, 2021 paper \| bibtex @article{liu2021generative, title={Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications}, author={Ming-Yu Liu and Xun Huang and Jiahui Yu and Ting-Chun Wang and Arun Mallya}, journal={Proceedings of The IEEE}, year={2021} }
	World-Consistent Video-to-Video Synthesis Arun Mallya, Ting-Chun Wang*, Karan Sapra, Ming-Yu Liu (equal contribution) European Conference on Computer Vision (ECCV), 2020 project \| paper \| YouTube \| bibtex @inproceedings{mallya2020world, author = {Arun Mallya and Ting-Chun Wang and Karan Sapra and Ming-Yu Liu}, title = {World-Consistent Video-to-Video Synthesis}, booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)}, year = {2020}, }
	Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 paper \| bibtex @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} }
	Few-shot Video-to-Video Synthesis 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} }
	Dancing to Music 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} }
	Semantic Image Synthesis with Spatially-Adaptive Normalization 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} }
	Video-to-Video Synthesis 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}, }
	Partial Convolution based Padding Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro arXiv preprint arXiv:1811.11718 arXiv \| bibtex @article{liu2018partial, author = {Liu, Guilin and Shih, Kevin J and Wang, Ting-Chun and Reda, Fitsum A and Sapra, Karan and Yu, Zhiding and Tao, Andrew and Catanzaro, Bryan}, title = {Partial convolution based padding}, journal = {arXiv preprint arXiv:1811.11718}, year = {2018}, }
	Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz arXiv preprint arXiv:1807.09384 arXiv \| bibtex @article{dundar2018domain, title={Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation}, author={Dundar, Aysegul and Liu, Ming-Yu and Wang, Ting-Chun and Zedlewski, John and Kautz, Jan}, journal={arXiv preprint arXiv:1807.09384}, year={2018} }
	Image Inpainting for Irregular Holes Using Partial Convolutions 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}, }
	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs 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}, }
	Beyond Photo-Consistency: Shape, Reflectance, and Material Estimation Using Light-Field Cameras Ting-Chun Wang PhD Thesis, 2017

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: 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)

Image-to-Image Translation

ICIP Tutorial on Image-to-Image Translation (2019)

Video-to-Video Synthesis

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)

	DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman International Conference on Computer Vision (ICCV), 2023 project \| paper \| code \| bibtex @inproceedings{karras2023dreampose, title={{Dreampose: Fashion image-to-video synthesis via stable diffusion}}, author={Karras, Johanna and Holynski, Aleksander and Wang, Ting-Chun and Kemelmacher-Shlizerman, Ira}, booktitle={ICCV}, year={2023} }
	SPACE: Speech-driven Portrait Animation with Controllable Expression Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu International Conference on Computer Vision (ICCV), 2023 project \| paper \| bibtex @inproceedings{gururani2022SPACE, title={{SPACE: Speech-driven Portrait Animation with Controllable Expression}}, author={Siddharth Gururani and Arun Mallya and Ting-Chun Wang and Rafael Valle and Ming-Yu Liu}, booktitle={ICCV}, year={2023} }
	Implicit Warping for Animation with Image Sets Arun Mallya, Ting-Chun Wang, Ming-Yu Liu Conference on Neural Information Processing Systems (NeurIPS), 2022 project \| paper \| bibtex @inproceedings{mallya2022implicit, title={{Implicit Warping for Animation with Image Sets}}, author={Arun Mallya and Ting-Chun Wang and Ming-Yu Liu}, booktitle={NeurIPS}, year={2022} }
	Generating Long Videos of Dynamic Scenes 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} }
	Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation 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} }
	Multimodal Conditional Image Synthesis with Product-of-Experts GANs Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu European Conference on Computer Vision (ECCV), 2022 project \| paper \| YouTube \| demo \| bibtex @inproceedings{huang2022poegan, title={Multimodal Conditional Image Synthesis with Product-of-Experts {GANs}}, author={Xun Huang and Arun Mallya and Ting-Chun Wang and Ming-Yu Liu}, booktitle={ECCV}, year={2022} }
	Partial Convolution for Padding, Inpainting, and Image Synthesis 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 paper \| bibtex @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}, }
	One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing 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}, }
	Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter 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) paper \| YouTube \| bibtex @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} }
	Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya Proceedings of The IEEE, 2021 paper \| bibtex @article{liu2021generative, title={Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications}, author={Ming-Yu Liu and Xun Huang and Jiahui Yu and Ting-Chun Wang and Arun Mallya}, journal={Proceedings of The IEEE}, year={2021} }
	World-Consistent Video-to-Video Synthesis Arun Mallya, Ting-Chun Wang*, Karan Sapra, Ming-Yu Liu (equal contribution) European Conference on Computer Vision (ECCV), 2020 project \| paper \| YouTube \| bibtex @inproceedings{mallya2020world, author = {Arun Mallya and Ting-Chun Wang and Karan Sapra and Ming-Yu Liu}, title = {World-Consistent Video-to-Video Synthesis}, booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)}, year = {2020}, }
	Domain Stylization: A Fast Covariance Matching Framework towards Domain Adaptation Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 paper \| bibtex @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} }
	Few-shot Video-to-Video Synthesis 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} }
	Dancing to Music 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} }
	Semantic Image Synthesis with Spatially-Adaptive Normalization 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} }
	Video-to-Video Synthesis 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}, }
	Partial Convolution based Padding Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro arXiv preprint arXiv:1811.11718 arXiv \| bibtex @article{liu2018partial, author = {Liu, Guilin and Shih, Kevin J and Wang, Ting-Chun and Reda, Fitsum A and Sapra, Karan and Yu, Zhiding and Tao, Andrew and Catanzaro, Bryan}, title = {Partial convolution based padding}, journal = {arXiv preprint arXiv:1811.11718}, year = {2018}, }
	Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz arXiv preprint arXiv:1807.09384 arXiv \| bibtex @article{dundar2018domain, title={Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation}, author={Dundar, Aysegul and Liu, Ming-Yu and Wang, Ting-Chun and Zedlewski, John and Kautz, Jan}, journal={arXiv preprint arXiv:1807.09384}, year={2018} }
	Image Inpainting for Irregular Holes Using Partial Convolutions 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}, }
	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs 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}, }
	Beyond Photo-Consistency: Shape, Reflectance, and Material Estimation Using Light-Field Cameras Ting-Chun Wang PhD Thesis, 2017