Hdr Tone Mapping Using a Generative Adversarial Network
S Ploumis, P Nasiopoulos - Available at SSRN 4080604 - papers.ssrn.com
Abstract Conventional Tone Mapping Operators (TMOs) usually fail to retain the same
performance across different scenes, while Deep Learning (DL) TMOs are typically …
performance across different scenes, while Deep Learning (DL) TMOs are typically …
Tmo-net: A parameter-free tone mapping operator using generative adversarial network, and performance benchmarking on large scale hdr dataset
Currently published tone mapping operators (TMO) are often evaluated on a very limited test
set of high dynamic range (HDR) images. Thus, the resulting performance index is highly …
set of high dynamic range (HDR) images. Thus, the resulting performance index is highly …
A generative adversarial network based tone mapping operator for 4k hdr images
High dynamic range (HDR) has arguably been established as the preferred image and
video format for content providers. As standard dynamic range (SDR) displays still dominate …
video format for content providers. As standard dynamic range (SDR) displays still dominate …
Contrastive learning for deep tone mapping operator
Most existing tone mapping operators (TMOs) are developed based on prior assumptions of
human visual system, and they are known to be sensitive to hyperparameters. In this paper …
human visual system, and they are known to be sensitive to hyperparameters. In this paper …
Deep tone mapping operator for high dynamic range images
A computationally fast tone mapping operator (TMO) that can quickly adapt to a wide
spectrum of high dynamic range (HDR) content is quintessential for visualization on varied …
spectrum of high dynamic range (HDR) content is quintessential for visualization on varied …
Improving HDR Rendering with UMTMNet's Multilayer Perception
P Liu, W Qin, C Hu - … Conferences on Internet of Things (iThings …, 2023 - ieeexplore.ieee.org
High dynamic range (HDR) images have recently become increasingly popular because
they can show details in both dark and bright regions, while mainstream displays only …
they can show details in both dark and bright regions, while mainstream displays only …
Unpaired learning for high dynamic range image tone mapping
Y Vinker, I Huberman-Spiegelglas… - Proceedings of the …, 2021 - openaccess.thecvf.com
High dynamic range (HDR) photography is becoming increasingly popular and available by
DSLR and mobile-phone cameras. While deep neural networks (DNN) have greatly …
DSLR and mobile-phone cameras. While deep neural networks (DNN) have greatly …
Perceptually optimized deep high-dynamic-range image tone mapping
We describe a deep high-dynamic-range (HDR) image tone mapping operator that is
computationally efficient and perceptually optimized. We first decompose an HDR image …
computationally efficient and perceptually optimized. We first decompose an HDR image …
A generative adversarial network for tone mapping hdr images
VA Patel, P Shah, S Raman - … 2017, Mandi, India, December 16-19, 2017 …, 2018 - Springer
A tone mapping operator converts High Dynamic Range (HDR) images to Low Dynamic
Range (LDR) images, which can be seen on LDR displays. There has been a lot of research …
Range (LDR) images, which can be seen on LDR displays. There has been a lot of research …
Deep arbitrary HDRI: Inverse tone mapping with controllable exposure changes
Deep convolutional neural networks (CNNs) have recently made significant advances in the
inverse tone mapping technique, which generates a high dynamic range (HDR) image from …
inverse tone mapping technique, which generates a high dynamic range (HDR) image from …