Representing 3D Shapes with Probabilistic Directed Distance Fields

10 December 2021

Papers citing "Representing 3D Shapes with Probabilistic Directed Distance Fields"

5 / 5 papers shown

Title
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations Tristan Aumentado-Armstrong Ashkan Mirzaei Marcus A. Brubaker J. Kelly Alex Levinshtein Konstantinos G. Derpanis Igor Gilitschenski 22 4 0 27 Oct 2023
FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions Tarun Yenamandra A. Tewari Nan Yang Florian Bernard Christian Theobalt Daniel Cremers 11 7 0 30 Mar 2022
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images Chen-Hsuan Lin Chaoyang Wang Simon Lucey 73 99 0 20 Oct 2020
Shape and Viewpoint without Keypoints Shubham Goel Angjoo Kanazawa Jitendra Malik 3DV 89 108 0 21 Jul 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 14,047 0 02 Dec 2016