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Deep HDR Hallucination for Inverse Tone Mapping

Deep HDR Hallucination for Inverse Tone Mapping

17 June 2021
Demetris Marnerides
Thomas Bashford-Rogers
Kurt Debattista
ArXivPDFHTML

Papers citing "Deep HDR Hallucination for Inverse Tone Mapping"

23 / 23 papers shown
Title
A Two-stage Deep Network for High Dynamic Range Image Reconstruction
A Two-stage Deep Network for High Dynamic Range Image Reconstruction
S. Sharif
R. A. Naqvi
Mithun Biswas
Kim Sungjun
3DV
49
18
0
19 Apr 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
70
148
0
15 May 2020
Spectrally Consistent UNet for High Fidelity Image Transformations
Spectrally Consistent UNet for High Fidelity Image Transformations
Demetris Marnerides
Thomas Bashford-Rogers
Kurt Debattista
31
4
0
22 Apr 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
57
234
0
02 Apr 2020
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
237
5,381
0
28 Sep 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
129
3,720
0
21 May 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
56
265
0
06 Mar 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
155
4,433
0
16 Feb 2018
Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single
  Low Dynamic Range Image
Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range Image
Siyeong Lee
Gwon Hwan An
Suk-ju Kang
3DV
60
105
0
19 Jan 2018
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
161
3,932
0
30 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
118
7,339
0
27 Oct 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
105
552
0
20 Oct 2017
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
356
2,507
0
08 Jun 2017
Geometric GAN
Geometric GAN
Jae Hyun Lim
J. C. Ye
GAN
64
518
0
08 May 2017
Learning High Dynamic Range from Outdoor Panoramas
Learning High Dynamic Range from Outdoor Panoramas
Jinsong Zhang
Jean-François Lalonde
54
100
0
29 Mar 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
308
19,612
0
21 Nov 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
452
9,027
0
10 Jun 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
62
5,287
0
25 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
209
10,230
0
27 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
324
10,172
0
16 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,917
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
411
43,234
0
11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,213
0
04 Sep 2014
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