Local Deep Implicit Functions for 3D Shape

Local Deep Implicit Functions for 3D Shape

12 December 2019

Thomas Funkhouser

Papers citing "Local Deep Implicit Functions for 3D Shape"

14 / 14 papers shown

Title
A Simple Plugin for Transforming Images to Arbitrary Scales Qinye Zhou Zi-Hua Li Weidi Xie Xiaoyun Zhang Ya Zhang Yanfeng Wang ViT 19 1 0 07 Oct 2022
3D Equivariant Graph Implicit Functions Yunlu Chen Basura Fernando Hakan Bilen Matthias Nießner E. Gavves 3DPC 27 23 0 31 Mar 2022
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism Jiahui Lei Kostas Daniilidis 41 53 0 30 Mar 2022
Exploring Differential Geometry in Neural Implicits Tiago Novello Guilherme Gonçalves Schardong L. Schirmer V. Silva Helio Lopes Luiz Velho 82 26 0 23 Jan 2022
Learning Signal-Agnostic Manifolds of Neural Fields Yilun Du Katherine M. Collins J. Tenenbaum Vincent Sitzmann MedIm 29 47 0 11 Nov 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation Jiteng Mu Weichao Qiu Adam Kortylewski Alan Yuille Nuno Vasconcelos Xiaolong Wang 27 106 0 15 Apr 2021
Neural Unsigned Distance Fields for Implicit Function Learning Julian Chibane Aymen Mir Gerard Pons-Moll 29 320 0 26 Oct 2020
Implicit Feature Networks for Texture Completion from Partial 3D Data Julian Chibane Gerard Pons-Moll 3DPC 3DV 3DH 12 44 0 20 Sep 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 47 2,489 0 17 Jun 2020
ShapeFlow: Learnable Deformations Among 3D Shapes C. Jiang Jingwei Huang Andrea Tagliasacchi Leonidas J. Guibas 3DPC AI4CE 22 44 0 14 Jun 2020
SALD: Sign Agnostic Learning with Derivatives Matan Atzmon Y. Lipman 24 143 0 09 Jun 2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction Rohan Chabra J. E. Lenssen Eddy Ilg Tanner Schmidt Julian Straub S. Lovegrove Richard Newcombe 29 462 0 24 Mar 2020
A Survey on Deep Geometry Learning: From a Representation Perspective Yun-Peng Xiao Yu-Kun Lai Fang-Lue Zhang Chunpeng Li Lin Gao 3DH AI4TS 40 100 0 19 Feb 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 189 1,942 0 24 Oct 2016