Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

NVIDIA: Ting-Chun Wang (core contributor) et al.

arXiv, 2025

Cosmos World Foundation Model Platform for Physical AI

NVIDIA: Ting-Chun Wang (core contributor) et al.

arXiv, 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

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

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

Implicit Warping for Animation with Image Sets

Arun Mallya, Ting-Chun Wang, Ming-Yu Liu

Conference on Neural Information Processing Systems (NeurIPS), 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

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

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

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

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)

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)

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

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

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

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

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

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)

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

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

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

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

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)

Beyond Photo-Consistency: Shape, Reflectance, and Material Estimation Using
Light-Field Cameras

Ting-Chun Wang

PhD Thesis, 2017