DeepMend: Learning Occupancy Functions to Represent Shape for Repair

11 October 2022

Papers citing "DeepMend: Learning Occupancy Functions to Represent Shape for Repair"

9 / 9 papers shown

Title
Pix2Repair: Implicit Shape Restoration from Images Xinchao Song N. Lamb Sean Banerjee N. Banerjee 3DV 19 0 0 29 May 2023
ShapeFormer: Transformer-based Shape Completion via Sparse Representation Xingguang Yan Liqiang Lin Niloy J. Mitra Dani Lischinski Daniel Cohen-Or Hui Huang ViT 56 110 0 25 Jan 2022
Variational Relational Point Completion Network Liang Pan Xinyi Chen Zhongang Cai Junzhe Zhang Haiyu Zhao Shuai Yi Ziwei Liu 3DPC 188 174 0 20 Apr 2021
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images Chen-Hsuan Lin Chaoyang Wang Simon Lucey 73 97 0 20 Oct 2020
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry Yifan Xu Tianqi Fan Yi Yuan Gurprit Singh 3DPC 3DV 49 35 0 27 Jul 2020
Curriculum DeepSDF Yueqi Duan Haidong Zhu He-Nan Wang L. Yi Ram Nevatia Leonidas J. Guibas 65 93 0 19 Mar 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 212 968 0 10 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 164 1,926 0 24 Oct 2016