ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.05958
  4. Cited By
A Neural Height-Map Approach for the Binocular Photometric Stereo
  Problem

A Neural Height-Map Approach for the Binocular Photometric Stereo Problem

10 November 2023
Fotios Logothetis
Ignas Budvytis
Roberto Cipolla
    3DV
ArXivPDFHTML

Papers citing "A Neural Height-Map Approach for the Binocular Photometric Stereo Problem"

4 / 4 papers shown
Title
LUCES-MV: A Multi-View Dataset for Near-Field Point Light Source
  Photometric Stereo
LUCES-MV: A Multi-View Dataset for Near-Field Point Light Source Photometric Stereo
Fotios Logothetis
Ignas Budvytis
Stephan Liwicki
Roberto Cipolla
3DV
78
1
0
21 Dec 2024
NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo
NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo
Fotios Logothetis
Ignas Budvytis
Roberto Cipolla
3DV
23
1
0
20 May 2024
A CNN Based Approach for the Point-Light Photometric Stereo Problem
A CNN Based Approach for the Point-Light Photometric Stereo Problem
Fotios Logothetis
R. Mecca
Ignas Budvytis
R. Cipolla
3DPC
3DV
32
20
0
10 Oct 2022
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo
R. Mecca
Fotios Logothetis
Ignas Budvytis
R. Cipolla
3DV
24
22
0
27 Apr 2021
1