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. 2202.05522
  4. Cited By
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?

Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?

11 February 2022
Francesco Banterle
Demetris Marnerides
Kurt Debattista
Thomas Bashford-Rogers
ArXiv (abs)PDFHTML

Papers citing "Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?"

14 / 14 papers shown
Title
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and
  Results
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results
Eduardo Pérez-Pellitero
Sibi Catley-Chandar
A. Leonardis
Radu Timofte
83
72
0
02 Jun 2021
HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world
  Benchmark Dataset
HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset
Guanying Chen
Chaofeng Chen
Shi Guo
Zhetong Liang
Kwan-Yee K. Wong
Lei Zhang
3DVAI4TS
116
56
0
27 Mar 2021
Single Image HDR Reconstruction Using a CNN with Masked Features and
  Perceptual Loss
Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss
Marcel Santana Santos
Ing Ren Tsang
N. Kalantari
110
148
0
15 May 2020
Single-Image HDR Reconstruction by Learning to Reverse the Camera
  Pipeline
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
Yu-Lun Liu
Wei-Sheng Lai
Yu-Sheng Chen
Yi-Lung Kao
Ming-Hsuan Yang
Yung-Yu Chuang
Jia-Bin Huang
101
234
0
02 Apr 2020
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping
  for 4K UHD HDR Applications
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
Seunggeun Kim
Jihyong Oh
Munchurl Kim
SupR
102
103
0
25 Apr 2019
Single-frame Regularization for Temporally Stable CNNs
Single-frame Regularization for Temporally Stable CNNs
Gabriel Eilertsen
Rafał K. Mantiuk
Jonas Unger
80
43
0
27 Feb 2019
Image Correction via Deep Reciprocating HDR Transformation
Image Correction via Deep Reciprocating HDR Transformation
Xin Yang
Ke Xu
Yibing Song
Qiang Zhang
Xiaopeng Wei
Rynson W. H. Lau
83
108
0
12 Apr 2018
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range
  Expansion from Low Dynamic Range Content
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content
Demetris Marnerides
Thomas Bashford-Rogers
Jonathan Hatchett
Kurt Debattista
69
266
0
06 Mar 2018
"Zero-Shot" Super-Resolution using Deep Internal Learning
"Zero-Shot" Super-Resolution using Deep Internal Learning
Assaf Shocher
Nadav Cohen
Michal Irani
SupR
88
857
0
17 Dec 2017
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
135
3,166
0
29 Nov 2017
HDR image reconstruction from a single exposure using deep CNNs
HDR image reconstruction from a single exposure using deep CNNs
Gabriel Eilertsen
J. Kronander
G. Denes
Rafał K. Mantiuk
Jonas Unger
3DV
135
552
0
20 Oct 2017
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
AI4CE
79
484
0
30 Sep 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,441
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
1