BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis-Reference-Cited by-同舟云学术

BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis

Published:2023-07-23 Issue: Volume: Page:
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Container-title:Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings
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Author:

Yariv Lior¹^ORCID,Hedman Peter²^ORCID,Reiser Christian³^ORCID,Verbin Dor⁴^ORCID,Srinivasan Pratul P.⁴^ORCID,Szeliski Richard⁴^ORCID,Barron Jonathan T.⁴^ORCID,Mildenhall Ben⁴^ORCID

Affiliation:

1. Weizmann Institute, Israel and Google Research, Israel

2. Google Research, United Kingdom

3. University of Tübingen, Germany and Google Research, Germany

4. Google Research, United States of America

Publisher

ACM

Reference59 articles.

1. Bao and Yang , Zeng Junyi , Bao Hujun , Zhang Yinda , Cui Zhaopeng , and Zhang Guofeng . 2022 . NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing. In European Conference on Computer Vision (ECCV). Bao and Yang, Zeng Junyi, Bao Hujun, Zhang Yinda, Cui Zhaopeng, and Zhang Guofeng. 2022. NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing. In European Conference on Computer Vision (ECCV).

2. Jonathan T. Barron . 2019. A General and Adaptive Robust Loss Function. CVPR ( 2019 ). Jonathan T. Barron. 2019. A General and Adaptive Robust Loss Function. CVPR (2019).

3. Jonathan T. Barron , Ben Mildenhall , Dor Verbin , Pratul P. Srinivasan , and Peter Hedman . 2022. Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. CVPR ( 2022 ). Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman. 2022. Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. CVPR (2022).

4. Yoshua Bengio , Nicholas Léonard , and Aaron Courville . 2013. Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432 ( 2013 ). Yoshua Bengio, Nicholas Léonard, and Aaron Courville. 2013. Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432 (2013).

5. Alexander W. Bergman Petr Kellnhofer and Gordon Wetzstein. 2021. Fast Training of Neural Lumigraph Representations using Meta Learning. In NeurIPS. Alexander W. Bergman Petr Kellnhofer and Gordon Wetzstein. 2021. Fast Training of Neural Lumigraph Representations using Meta Learning. In NeurIPS.

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