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Neural implicit fields have recently emerged as a useful representation for 3D shapes.
Robust Learning with Jacobian Regularization
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Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain , Daniel D. Lee, Masashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, and Roman Garnett (Eds.). 901
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Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada , Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d’Alché-Buc, Emily B. Fox, and Roman Garnett (Eds.). 15364–15376
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Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada , Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d’Alché-Buc, Emily B. Fox, and Roman Garnett (Eds.). 11669–11680
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. In 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 . IEEE Computer Society, 77–85
Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas. 2017 · 2017
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Gradient regularization improves accuracy of discriminative models
Dániel Varga, Adrián Csiszárik, and Zsolt Zombori. 2017 · 2017
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Spectral Norm Regularization for Improving the Generalizability of Deep Learning
Yuichi Yoshida and Takeru Miyato. 2017 · 2017
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JAX: composable transformations of Python+NumPy programs
James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. 2018 · 2018
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Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018 , Sheila A. McIlraith and Kilian Q. Weinberger (Eds.). AAAI Press, 3271–3278
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Neural 3D Mesh Renderer. In 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018 . Computer Vision Foundation / IEEE Computer Society, 3907–3916
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Spectral Normalization for Generative Adversarial Networks. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings . OpenReview.net
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Lipschitz regularized Deep Neural Networks converge and generalize
Adam M. Oberman and Jeff Calder. 2018 · 2018
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Occupancy Networks: Learning 3D Reconstruction in Function Space. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019 . Computer Vision Foundation / IEEE, 4460–4470
Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger. 2019a · 2019
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Occupancy Networks: Learning 3D Reconstruction in Function Space. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019 . Computer Vision Foundation / IEEE, 4460–4470
Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger. 2019b · 2019
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Robustness via Curvature Regularization, and Vice Versa. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019 . Computer Vision Foundation / IEEE, 9078–9086
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, and Pascal Frossard. 2019 · 2019
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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019 . Computer Vision Foundation / IEEE, 165–174
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Deep Geometric Prior for Surface Reconstruction. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019 . Computer Vision Foundation / IEEE, 10130–10139
Francis Williams, Teseo Schneider, Cláudio T. Silva, Denis Zorin, Joan Bruna, and Daniele Panozzo. 2019 · 2019
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Implicit Geometric Regularization for Learning Shapes. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event (Proceedings of Machine Learning Research, Vol. 119) . PMLR, 3789–3799
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, and Yaron Lipman. 2020 · 2020
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Deep geometric texture synthesis
Amir Hertz, Rana Hanocka, Raja Giryes, and Daniel Cohen-Or. 2020 · 2020
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Exactly Computing the Local Lipschitz Constant of ReLU Networks. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , Hugo Larochelle, Marc’Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.)
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Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. In Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part II (Lecture Notes in Computer Science, Vol. 12347) , Andrea Vedaldi, Horst Bischof, Thomas Brox, and Jan-Michael Frahm (Eds.). Springer, 655–672
Marie-Julie Rakotosaona and Maks Ovsjanikov. 2020 · 2020
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Adversarial Lipschitz Regularization. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020 . OpenReview.net
Dávid Terjék. 2020 · 2020
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Intuitive Shape Editing in Latent Space
Tim Elsner, Moritz Ibing, Victor Czech, Julius Nehring-Wirxel, and Leif Kobbelt. 2021 · 2021
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Regularisation of neural networks by enforcing Lipschitz continuity
Henry Gouk, Eibe Frank, Bernhard Pfahringer, and Michael J. Cree. 2021 · 2021
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Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021 . Computer Vision Foundation / IEEE, 9949–9958
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Neural Fields in Visual Computing and Beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, and Srinath Sridhar. 2021 · 2021
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