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Ryan Po
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2020 – today
- 2024
- [j1]Ryan Po, Wang Yifan
, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43(2): i-iii (2024) - [c7]Ryan Po, Gordon Wetzstein:
Compositional 3D Scene Generation using Locally Conditioned Diffusion. 3DV 2024: 651-663 - [c6]Ryan Po, Guandao Yang, Kfir Aberman, Gordon Wetzstein:
Orthogonal Adaptation for Modular Customization of Diffusion Models. CVPR 2024: 7964-7973 - [c5]Rameen Abdal, Yifan Wang, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein:
Gaussian Shell Maps for Efficient 3D Human Generation. CVPR 2024: 9441-9451 - [c4]Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell:
Flying with Photons: Rendering Novel Views of Propagating Light. ECCV (21) 2024: 333-351 - [i9]Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell:
Flying with Photons: Rendering Novel Views of Propagating Light. CoRR abs/2404.06493 (2024) - [i8]Tong Wu, Yinghao Xu, Ryan Po, Mengchen Zhang, Guandao Yang, Jiaqi Wang, Ziwei Liu, Dahua Lin, Gordon Wetzstein:
FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models. CoRR abs/2412.07674 (2024) - 2023
- [c3]J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein:
3D Neural Field Generation Using Triplane Diffusion. CVPR 2023: 20875-20886 - [c2]Ryan Po, Zhengyang Dong, Alexander W. Bergman, Gordon Wetzstein:
Instant Continual Learning of Neural Radiance Fields. ICCV (Workshops) 2023: 3326-3336 - [i7]Ryan Po, Gordon Wetzstein:
Compositional 3D Scene Generation using Locally Conditioned Diffusion. CoRR abs/2303.12218 (2023) - [i6]Ryan Po, Zhengyang Dong, Alexander W. Bergman, Gordon Wetzstein:
Instant Continual Learning of Neural Radiance Fields. CoRR abs/2309.01811 (2023) - [i5]Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. CoRR abs/2310.07204 (2023) - [i4]Rameen Abdal, Wang Yifan
, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein:
Gaussian Shell Maps for Efficient 3D Human Generation. CoRR abs/2311.17857 (2023) - [i3]Ryan Po, Guandao Yang, Kfir Aberman, Gordon Wetzstein:
Orthogonal Adaptation for Modular Customization of Diffusion Models. CoRR abs/2312.02432 (2023) - 2022
- [c1]Ryan Po, Adithya Pediredla, Ioannis Gkioulekas
:
Adaptive Gating for Single-Photon 3D Imaging. CVPR 2022: 16333-16342 - [i2]J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein:
3D Neural Field Generation using Triplane Diffusion. CoRR abs/2211.16677 (2022) - 2021
- [i1]Ryan Po, Adithya Pediredla, Ioannis Gkioulekas:
Adaptive Gating for Single-Photon 3D Imaging. CoRR abs/2111.15047 (2021)
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last updated on 2025-01-21 21:21 CET by the dblp team
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