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Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control
NVIDIA: Ting-Chun Wang (core contributor) et al.
arXiv, 2025
project |
paper |
code |
video |
bibtex
@article{nvidia2025cosmostransfer1conditionalworldgeneration,
title = {Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control},
author = {NVIDIA and others},
journal = {arXiv preprint arXiv:2503.14492},
year = {2025},
}
|
|
Cosmos World Foundation Model Platform for Physical AI
NVIDIA: Ting-Chun Wang (core contributor) et al.
arXiv, 2025
project |
paper |
code |
video |
bibtex
@article{nvidia2025cosmosworldfoundationmodel,
title = {Cosmos World Foundation Model Platform for Physical AI},
author = {NVIDIA and others},
journal = {arXiv preprint arXiv:2501.03575},
year = {2025},
}
|
|
JeDi: Joint-image Diffusion Models for Finetuning-free Personalized Text-to-image Generation
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
project |
paper |
bibtex
@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}
}
|
|
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}
}
|
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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
|