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. 2110.05621
  4. Cited By
Neural Architecture Search for Efficient Uncalibrated Deep Photometric
  Stereo

Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo

11 October 2021
Francesco Sarno
Suryansh Kumar
Berk Kaya
Zhiwu Huang
V. Ferrari
Luc Van Gool
ArXivPDFHTML

Papers citing "Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo"

4 / 4 papers shown
Title
Deep Learning Methods for Calibrated Photometric Stereo and Beyond
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
NeIF: Representing General Reflectance as Neural Intrinsics Fields for
  Uncalibrated Photometric Stereo
NeIF: Representing General Reflectance as Neural Intrinsics Fields for Uncalibrated Photometric Stereo
Zong-Han Li
Qian Zheng
Fei-Zhang Wang
Boxin Shi
Gang Pan
Xudong Jiang
19
0
0
18 Aug 2022
PS-FCN: A Flexible Learning Framework for Photometric Stereo
PS-FCN: A Flexible Learning Framework for Photometric Stereo
Guanying Chen
Kai Han
Kwan-Yee Kenneth Wong
46
134
0
23 Jul 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,319
0
05 Nov 2016
1