Artikel dengan mandat akses publik - Jun-Yan ZhuPelajari lebih lanjut
Tersedia di suatu tempat: 31
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, 2017
Mandat: US National Science Foundation
Image-to-image translation with conditional adversarial networks
P Isola, JY Zhu, T Zhou, AA Efros
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Mandat: US National Science Foundation, US Department of Defense, US Office of the …
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, AA Efros, T Darrell
International Conference on Machine Learning, 2018
Mandat: US National Science Foundation, US Department of Defense
Toward Multimodal Image-to-Image Translation
JY Zhu, R Zhang, D Pathak, T Darrell, AA Efros, O Wang, E Shechtman
Advances in Neural Information Processing Systems, 465-476, 2017
Mandat: US National Science Foundation, US Department of Defense
Contrastive Learning for Unpaired Image-to-Image Translation
T Park, AA Efros, R Zhang, JY Zhu
Proceedings of European Conference on Computer Vision (ECCV), 2020
Mandat: US National Science Foundation
Differentiable augmentation for data-efficient gan training
S Zhao, Z Liu, J Lin, JY Zhu, S Han
Advances in Neural Information Processing Systems (NeurIPS), 2020
Mandat: US National Science Foundation
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
D Bau, JY Zhu, H Strobelt, B Zhou, JB Tenenbaum, WT Freeman, ...
International Conference on Learning Representations (ICLR) 11, 2019
Mandat: US National Science Foundation, US Department of Defense
State of the Art on Neural Rendering
A Tewari, O Fried, J Thies, V Sitzmann, S Lombardi, K Sunkavalli, ...
Computer Graphics Forum (Eurographics STAR 2020), 2020
Mandat: US National Science Foundation, European Commission
Understanding the role of individual units in a deep neural network
D Bau, JY Zhu, H Strobelt, A Lapedriza, B Zhou, A Torralba
Proceedings of the National Academy of Sciences (PNAS), 2020
Mandat: US National Science Foundation, US Department of Defense, Government of Spain
Seeing what a gan cannot generate
D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba
Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2019
Mandat: US National Science Foundation, US Department of Defense
Dataset Distillation by Matching Training Trajectories
G Cazenavette, T Wang, A Torralba, AA Efros, JY Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2022
Mandat: US National Science Foundation
Semantic photo manipulation with a generative image prior
D Bau, H Strobelt, W Peebles, B Zhou, JY Zhu, A Torralba
ACM Transactions on Graphics (TOG) 38 (4), 2019
Mandat: US National Science Foundation, US Department of Defense
3D-Aware Scene Manipulation via Inverse Graphics
S Yao, TMH Hsu, JY Zhu, J Wu, A Torralba, WT Freeman, JB Tenenbaum
Advances in Neural Information Processing Systems, 2018
Mandat: US National Science Foundation, US Department of Defense
GAN Compression: Efficient Architectures for Interactive Conditional GANs
M Li, J Lin, Y Ding, Z Liu, JY Zhu, S Han
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020
Mandat: US National Science Foundation
Visual object networks: Image generation with disentangled 3d representation
JY Zhu, Z Zhang, C Zhang, J Wu, A Torralba, JB Tenenbaum, ...
Advances in Neural Information Processing Systems (NeurIPS), 2018
Mandat: US National Science Foundation, US Department of Defense
A 4D light-field dataset and CNN architectures for material recognition
TC Wang, JY Zhu, E Hiroaki, M Chandraker, AA Efros, R Ramamoorthi
Proceedings of European Conference on Computer Vision (ECCV), 2016
Mandat: US National Science Foundation
Ablating concepts in text-to-image diffusion models
N Kumari, B Zhang, SY Wang, E Shechtman, R Zhang, JY Zhu
Proceedings of the IEEE International Conference on Computer Vision, 2023
Mandat: US National Science Foundation
Propagation Networks for Model-Based Control Under Partial Observation
Y Li, J Wu, JY Zhu, JB Tenenbaum, A Torralba, R Tedrake
IEEE International Conference on Robotics and Automation (ICRA), 2019
Mandat: US National Science Foundation, US Department of Defense, US National …
Rewriting a Deep Generative Model
D Bau, S Liu, T Wang, JY Zhu, A Torralba
Proceedings of European Conference on Computer Vision (ECCV), 2020
Mandat: US National Science Foundation, US Department of Defense
Light Field Video Capture Using a Learning-Based Hybrid Imaging System
TC Wang, JY Zhu, NK Kalantari, AA Efros, R Ramamoorthi
ACM Transactions on Graphics (TOG) 36 (4), 133:1--133:13, 2017
Mandat: US National Science Foundation, US Department of Defense
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