Implicit Geometric Regularization for Learning Shapes

24 February 2020

Papers citing "Implicit Geometric Regularization for Learning Shapes"

23 / 623 papers shown

Title
Neural Lumigraph Rendering Petr Kellnhofer Lars Jebe Andrew Jones Ryan P. Spicer K. Pulli Gordon Wetzstein 3DV 3DH 27 146 0 22 Mar 2021
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks Despoina Paschalidou Angelos Katharopoulos Andreas Geiger Sanja Fidler 3DPC 3DV 3DH 24 112 0 18 Mar 2021
Generative Models as Distributions of Functions Emilien Dupont Yee Whye Teh Arnaud Doucet 22 103 0 09 Feb 2021
Towards Generalising Neural Implicit Representations Theo W. Costain V. Prisacariu 36 2 0 29 Jan 2021
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds Wenbin Zhao Jiabao Lei Yuxin Wen Jianguo Zhang Kui Jia 3DPC 65 32 0 14 Dec 2020
Deep Optimized Priors for 3D Shape Modeling and Reconstruction Mingyue Yang Yuxin Wen Weikai Chen Y. Chen Kui Jia 21 32 0 14 Dec 2020
Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations Yifan Wang Shihao Wu A. C. Öztireli O. Sorkine-Hornung 3DPC 24 52 0 11 Dec 2020
AutoInt: Automatic Integration for Fast Neural Volume Rendering David B. Lindell Julien N. P. Martel Gordon Wetzstein 31 265 0 03 Dec 2020
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis E. R. Chan M. Monteiro Petr Kellnhofer Jiajun Wu Gordon Wetzstein GAN 48 846 0 02 Dec 2020
Vehicle Reconstruction and Texture Estimation Using Deep Implicit Semantic Template Mapping Xiaochen Zhao Zerong Zheng Chaonan Ji Zhenyi Liu Yirui Luo Tao Yu J. Suo Yebin Liu 3DV 18 2 0 30 Nov 2020
Deep Implicit Templates for 3D Shape Representation Zerong Zheng Tao Yu Qionghai Dai Yebin Liu 19 116 0 30 Nov 2020
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces Baorui Ma Zhizhong Han Yu-Shen Liu Matthias Zwicker 3DPC 40 153 0 26 Nov 2020
Omni-GAN: On the Secrets of cGANs and Beyond P. Zhou Lingxi Xie Bingbing Ni Cong Geng Qi Tian GAN 35 22 0 26 Nov 2020
Learning Barrier Functions with Memory for Robust Safe Navigation Kehan Long Cheng Qian Jorge Cortés Nikolay Atanasov 25 52 0 03 Nov 2020
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images Chen-Hsuan Lin Chaoyang Wang Simon Lucey 81 100 0 20 Oct 2020
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks Francis Williams Matthew Trager Joan Bruna Denis Zorin 16 67 0 24 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions Vincent Sitzmann E. R. Chan Richard Tucker Noah Snavely Gordon Wetzstein 30 247 0 17 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 17 2,486 0 17 Jun 2020
SALD: Sign Agnostic Learning with Derivatives Matan Atzmon Y. Lipman 16 143 0 09 Jun 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 29 156 0 31 Mar 2020
LIMP: Learning Latent Shape Representations with Metric Preservation Priors Luca Cosmo Antonio Norelli Oshri Halimi Ron Kimmel Emanuele Rodolà 26 73 0 27 Mar 2020
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance Lior Yariv Yoni Kasten Dror Moran Meirav Galun Matan Atzmon Ronen Basri Y. Lipman 3DV 8 15 0 22 Mar 2020
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 171 1,940 0 24 Oct 2016