Taesung Park
Taesung Park
Adobe Research
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Cited by
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Unpaired image-to-image translation using cycle-consistent adversarial networks
JY Zhu, T Park, P Isola, AA Efros
Proceedings of the IEEE international conference on computer vision, 2223-2232, 2017
Cycada: Cycle-consistent adversarial domain adaptation
J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, A Efros, T Darrell
International conference on machine learning, 1989-1998, 2018
Semantic image synthesis with spatially-adaptive normalization
T Park, MY Liu, TC Wang, JY Zhu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Contrastive Learning for Unpaired Image-to-Image Translation
T Park, AA Efros, R Zhang, JY Zhu
European Conference on Computer Vision (ECCV), 2020
Swapping Autoencoder for Deep Image Manipulation
T Park, JY Zhu, O Wang, J Lu, E Shechtman, AA Efros, R Zhang
Neural Information Processing Systems (NeurIPS), 2020
Inverse optimal control for humanoid locomotion
T Park, S Levine
Robotics science and systems workshop on inverse optimal control and robotic …, 2013
Contrastive feature loss for image prediction
A Andonian, T Park, B Russell, P Isola, JY Zhu, R Zhang
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Contrastive learning for unpaired image-to-image translation
P Taesung, AE Alexei, R Zhang, JY Zhu
European Conference on Computer Vision, 2020
A deep learning algorithm to predict hazardous drinkers and the severity of alcohol-related problems using K-NHANES
SY Kim, T Park, K Kim, J Oh, Y Park, DJ Kim
Frontiers in psychiatry, 1124, 2021
BlobGAN: Spatially Disentangled Scene Representations
D Epstein, T Park, R Zhang, E Shechtman, AA Efros
arXiv preprint arXiv:2205.02837, 2022
Unpaired image-toimage translation using cycle-consistent adversarial networks. arXiv
JY Zhu, T Park, P Isola, AA Efros
Generating modified digital images utilizing a global and spatial autoencoder
P Taesung, R Zhang, O Wang, J Zhu, J Lu, E Shechtman, AA Efros
US Patent App. 16/874,399, 2021
A customizable dynamic scenario modeling and data generation platform for autonomous driving
J Shenoy, E Kim, X Yue, T Park, D Fremont, A Sangiovanni-Vincentelli, ...
arXiv preprint arXiv:2011.14551, 2020
ASSET: autoregressive semantic scene editing with transformers at high resolutions
D Liu, S Shetty, T Hinz, M Fisher, R Zhang, T Park, E Kalogerakis
ACM Transactions on Graphics (TOG) 41 (4), 1-12, 2022
Modifying neural networks for synthetic conditional digital content generation utilizing contrastive perceptual loss
B Russell, P Taesung, R Zhang, J Zhu, A Andonian
US Patent App. 17/091,440, 2022
Generating modified digital images incorporating scene layout utilizing a swapping autoencoder
P Taesung, AA Efros, E Shechtman, R Zhang, J Zhu
US Patent App. 17/091,416, 2022
Machine Learning for Deep Image Manipulation
T Park
University of California, Berkeley, 2021
Mitigating Mode Collapse by Sidestepping Catastrophic Forgetting
K Mangalam, R Garg, J Rajasegaran, T Park
Contrastive Feature Loss for Image Prediction Supplemental Materials
A Andonian, T Park, B Russell, P Isola, JY Zhu, R Zhang
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