Connor Z. Lin

Recent Alum

Email: connorzl@cs.stanford.edu
Website: https://www.connorzlin.com

Research Statement

My research explores computer vision and computer graphics. I am interested in neural representations for reconstructing, generating, and editing 3D humans, objects, and scenes.

Recent Publications

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C. Z. Lin, K. Nagano, J. Kautz, E. R. Chan, U. Iqbal, L. Guibas, G. Wetzstein, S. Khamis, Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization, SIGGRAPH 2023
@article{lin2023single,
  title={Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization},
  author={Lin, Connor Z and Nagano, Koki and Kautz, Jan and Chan, Eric R and Iqbal, Umar and Guibas, Leonidas and Wetzstein, Gordon and Khamis, Sameh},
  journal={arXiv preprint arXiv:2305.03043},
  year={2023}
}
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C. Z. Lin, N. J. Mitra, G. Wetzstein, L. Guibas, P. Guerrero, NeuForm: Adaptive Overfitting for Neural Shape Editing, NeurIPS 2022 (Oral)
@article{lin2022neuform,
  title={Neuform: Adaptive overfitting for neural shape editing},
  author={Lin, Connor and Mitra, Niloy and Wetzstein, Gordon and Guibas, Leonidas J and Guerrero, Paul},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={15217--15229},
  year={2022}
}
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C. Z. Lin, D. B. Lindell, E. R. Chan, G. Wetzstein, 3D GAN Inversion for Controllable Portrait Image Animation, ECCVW 2022
@article{lin20223d,
  title={3d gan inversion for controllable portrait image animation},
  author={Lin, Connor Z and Lindell, David B and Chan, Eric R and Wetzstein, Gordon},
  journal={arXiv preprint arXiv:2203.13441},
  year={2022}
}
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E. R. Chan*, C. Z. Lin*, M. A. Chan*, K. Nagano* et al., Efficient Geometry-aware 3D Generative Adversarial Networks, CVPR 2022 (Oral)
@article{clcn-eg3d-22,
  title={Efficient geometry-aware 3D generative adversarial networks},
  author={Chan, Eric R and Lin, Connor Z and Chan, Matthew A and Nagano, Koki and Pan, Boxiao and De Mello, Shalini and Gallo, Orazio and Guibas, Leonidas and Tremblay, Jonathan and Khamis, Sameh and others},
  journal={arXiv preprint arXiv:2112.07945},
  year={2021}
}
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J. N. P. Martel*, D. B. Lindell*, C. Z. Lin, E. R. Chan, M. Monteiro, G. Wetzstein, ACORN: Adaptive Coordinate Networks for Neural Representation, SIGGRAPH 2021
@article{mllcmw-acorn-21,
author = {Martel, Julien N.P. and Lindell, David B. and Lin, Connor Z. and Chan, Eric R. and Monteiro, Marco and Wetzstein, Gordon},
title = {ACORN: Adaptive Coordinate Networks for Neural Representation},
journal = {ACM Trans. Graph. (SIGGRAPH)},
year={2021}
}
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