Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo

Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo

11 October 2021

Francesco Sarno

Luc Van Gool

Papers citing "Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo"

10 / 10 papers shown

Title
Normal-guided Detail-Preserving Neural Implicit Function for High-Fidelity 3D Surface Reconstruction Aarya Patel Hamid Laga Ojaswa Sharma 43 1 0 07 Jun 2024
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem Fotios Logothetis Ignas Budvytis Roberto Cipolla 3DV 19 3 0 10 Nov 2023
Fast Satellite Tensorial Radiance Field for Multi-date Satellite Imagery of Large Size Tongtong Zhang Yuanxiang Li 29 2 0 21 Sep 2023
MVPSNet: Fast Generalizable Multi-view Photometric Stereo Dongxu Zhao Daniel Lichy Pierre-Nicolas Perrin Jan-Michael Frahm Soumyadip Sengupta 3DV 16 15 0 18 May 2023
WildLight: In-the-wild Inverse Rendering with a Flashlight Ziang Cheng Junxuan Li Hongdong Li 21 15 0 24 Mar 2023
Deep Learning Methods for Calibrated Photometric Stereo and Beyond Yakun Ju K. Lam Wuyuan Xie Huiyu Zhou Junyu Dong Boxin Shi 11 34 0 16 Dec 2022
Compressing Explicit Voxel Grid Representations: fast NeRFs become also small C. Deng Enzo Tartaglione GNN 18 52 0 23 Oct 2022
GeoNeRF: Generalizing NeRF with Geometry Priors Mohammad Mahdi Johari Y. Lepoittevin Franccois Fleuret 28 196 0 26 Nov 2021
ShaRF: Shape-conditioned Radiance Fields from a Single View Konstantinos Rematas Ricardo Martín Brualla V. Ferrari 45 110 0 17 Feb 2021
PS-FCN: A Flexible Learning Framework for Photometric Stereo Guanying Chen Kai Han Kwan-Yee Kenneth Wong 46 134 0 23 Jul 2018