Diffeomorphic Neural Surface Parameterization for 3D and Reflectance Acquisition

Author:

Cheng Ziang1,Li Hongdong1,Hartley Richard1,Zheng Yinqiang2,Sato Imari3

Affiliation:

1. The Australian National University, Australia

2. The University of Tokyo, Japan

3. National Institute of Informatics, Japan

Publisher

ACM

Reference81 articles.

1. Shape from Specular Flow

2. Building Rome in a day

3. Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms

4. Jens Behrmann , Will Grathwohl , Ricky  TQ Chen , David Duvenaud , and Jörn-Henrik Jacobsen . 2019 . Invertible residual networks . In International Conference on Machine Learning. PMLR, 573–582 . Jens Behrmann, Will Grathwohl, Ricky TQ Chen, David Duvenaud, and Jörn-Henrik Jacobsen. 2019. Invertible residual networks. In International Conference on Machine Learning. PMLR, 573–582.

5. Alexander Bergman , Petr Kellnhofer , and Gordon Wetzstein . 2021. Fast training of neural lumigraph representations using meta learning. Advances in Neural Information Processing Systems 34 ( 2021 ). Alexander Bergman, Petr Kellnhofer, and Gordon Wetzstein. 2021. Fast training of neural lumigraph representations using meta learning. Advances in Neural Information Processing Systems 34 (2021).

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1. WildLight: In-the-wild Inverse Rendering with a Flashlight;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

2. Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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