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. 1912.06501
  4. Cited By
Inferring Super-Resolution Depth from a Moving Light-Source Enhanced
  RGB-D Sensor: A Variational Approach

Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach

13 December 2019
Lu Sang
Bjoern Haefner
Daniel Cremers
    3DV
    MDE
ArXivPDFHTML

Papers citing "Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach"

4 / 4 papers shown
Title
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse
  Volume Rendering
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering
Mohammed Brahimi
Bjoern Haefner
Tarun Yenamandra
Bastian Goldluecke
Daniel Cremers
SupR
MDE
43
6
0
09 Dec 2022
FastHuman: Reconstructing High-Quality Clothed Human in Minutes
FastHuman: Reconstructing High-Quality Clothed Human in Minutes
Lixiang Lin
Songyou Peng
Qi-Xian Gan
Jianke Zhu
3DH
24
3
0
26 Nov 2022
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated
  Photometric Stereo and Gradient-SDF
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF
Lu Sang
Bjoern Haefner
Xingxing Zuo
Daniel Cremers
3DV
3DH
44
10
0
21 Oct 2022
Super-resolution 3D Human Shape from a Single Low-Resolution Image
Super-resolution 3D Human Shape from a Single Low-Resolution Image
Marco Pesavento
M. Volino
A. Hilton
SupR
3DH
24
11
0
23 Aug 2022
1