A Deep Signed Directional Distance Function for Object Shape Representation

23 July 2021

Papers citing "A Deep Signed Directional Distance Function for Object Shape Representation"

7 / 7 papers shown

Title
TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose Estimation Yuta Yoshitake Mai Nishimura S. Nobuhara Ko Nishino ViT 36 2 0 23 Mar 2023
FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions Tarun Yenamandra A. Tewari Nan Yang Florian Bernard Christian Theobalt Daniel Cremers 16 7 0 30 Mar 2022
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 Srinath Sridhar 3DH 49 615 0 22 Nov 2021
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images Chen-Hsuan Lin Chaoyang Wang Simon Lucey 81 100 0 20 Oct 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 240 558 0 19 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 14,103 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