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Connor Zhizhen Lin
Connor Zhizhen Lin
Bestätigte E-Mail-Adresse bei stanford.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Efficient geometry-aware 3d generative adversarial networks
ER Chan, CZ Lin, MA Chan, K Nagano, B Pan, S De Mello, O Gallo, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
12242022
Acorn: Adaptive coordinate networks for neural scene representation
JNP Martel, DB Lindell, CZ Lin, ER Chan, M Monteiro, G Wetzstein
arXiv preprint arXiv:2105.02788, 2021
2492021
3d gan inversion for controllable portrait image animation
CZ Lin, DB Lindell, ER Chan, G Wetzstein
arXiv preprint arXiv:2203.13441, 2022
472022
Neuform: Adaptive overfitting for neural shape editing
C Lin, N Mitra, G Wetzstein, LJ Guibas, P Guerrero
Advances in Neural Information Processing Systems 35, 15217-15229, 2022
132022
Single-shot implicit morphable faces with consistent texture parameterization
C Lin, K Nagano, J Kautz, E Chan, U Iqbal, L Guibas, G Wetzstein, ...
ACM SIGGRAPH 2023 Conference Proceedings, 1-12, 2023
112023
Efficient Geometry-aware 3D Generative Adversarial Networks. CoRR abs/2112.07945 (2021)
ER Chan, CZ Lin, MA Chan, K Nagano, B Pan, S De Mello, O Gallo, ...
arXiv preprint arXiv:2112.07945, 2021
32021
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation
H Chen, B Shen, Y Liu, R Shi, L Zhou, CZ Lin, J Gu, H Su, G Wetzstein, ...
arXiv preprint arXiv:2410.18974, 2024
2024
GazeFusion: Saliency-guided Image Generation
Y Zhang, N Wu, CZ Lin, G Wetzstein, Q Sun
ACM Transactions on Applied Perception, 2024
2024
Periodic Conformal Parameterization
CZ Lin
Carnegie Mellon University Pittsburgh, PA, 2019
2019
NEUFORM: Adaptive Overfitting for Neural Shape Editing Supplementary Material
CZ Lin, NJ Mitra, G Wetzstein, L Guibas, P Guerrero
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