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Lucy Chai
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2020 – today
- 2024
- [j1]John Flynn
, Michael Broxton
Quark: Real-time, High-resolution, and General Neural View Synthesis. ACM Trans. Graph. 43(6): 194:1-194:20 (2024) - [i9]Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Y. Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola:
When Does Perceptual Alignment Benefit Vision Representations? CoRR abs/2410.10817 (2024) - 2023
- [b1]Lucy Chai:
Controlling Image Synthesis with Emergent and Designed Priors. MIT, USA, 2023 - [c8]Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely:
Persistent Nature: A Generative Model of Unbounded 3D Worlds. CVPR 2023: 20863-20874 - [c7]Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola:
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. NeurIPS 2023 - [i8]Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely:
Persistent Nature: A Generative Model of Unbounded 3D Worlds. CoRR abs/2303.13515 (2023) - [i7]Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola:
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. CoRR abs/2306.09344 (2023) - 2022
- [c6]Jingwei Ma
Totems: Physical Objects for Verifying Visual Integrity. ECCV (14) 2022: 164-180 - [c5]Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang:
Any-Resolution Training for High-Resolution Image Synthesis. ECCV (16) 2022: 170-188 - [i6]Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang:
Any-resolution Training for High-resolution Image Synthesis. CoRR abs/2204.07156 (2022) - [i5]Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba:
Totems: Physical Objects for Verifying Visual Integrity. CoRR abs/2209.13032 (2022) - 2021
- [c4]Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang:
Ensembling With Deep Generative Views. CVPR 2021: 14997-15007 - [c3]Lucy Chai, Jonas Wulff, Phillip Isola:
Using latent space regression to analyze and leverage compositionality in GANs. ICLR 2021 - [i4]Lucy Chai, Jonas Wulff, Phillip Isola:
Using latent space regression to analyze and leverage compositionality in GANs. CoRR abs/2103.10426 (2021) - [i3]Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang:
Ensembling with Deep Generative Views. CoRR abs/2104.14551 (2021) - 2020
- [c2]Lucy Chai, David Bau
What Makes Fake Images Detectable? Understanding Properties that Generalize. ECCV (26) 2020: 103-120 - [c1]Ali Jahanian, Lucy Chai, Phillip Isola:
On the "steerability" of generative adversarial networks. ICLR 2020 - [i2]Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola:
What makes fake images detectable? Understanding properties that generalize. CoRR abs/2008.10588 (2020)
2010 – 2019
- 2019
- [i1]Ali Jahanian, Lucy Chai, Phillip Isola:
On the "steerability" of generative adversarial networks. CoRR abs/1907.07171 (2019)
Coauthor Index
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