Taylor3DNet: Fast 3D Shape Inference With Landmark Points Based Taylor Series

18 January 2022

Papers citing "Taylor3DNet: Fast 3D Shape Inference With Landmark Points Based Taylor Series"

5 / 5 papers shown

Title
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 237 558 0 19 Mar 2020
Curriculum DeepSDF Yueqi Duan Haidong Zhu He-Nan Wang L. Yi Ram Nevatia Leonidas J. Guibas 65 94 0 19 Mar 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 226 971 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 222 14,099 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 171 1,940 0 24 Oct 2016