Jun 14, 2021 · This paper proposes a real-time deep semi-supervised learning TMO to solve the above problems. The proposed method learns in a semi-supervised ...
Dec 29, 2022 · Abstract—Tone mapping operators (TMOs) can compress the range of high dynamic range (HDR) images so that they can.
The proposed method learns in a semi-supervised manner by combining the adversarial loss, cycle consistency loss, and the pixel-wise loss. The first two can ...
This paper proposes a real-time deep semi-supervised learning TMO to solve the above problems. The proposed method learns in a semi-supervised manner by.
Jan 1, 2022 · This paper proposes a real-time deep semi-supervised learning TMO to solve the above problems. The proposed method learns in a semi-supervised ...
Nov 21, 2022 · TMO' is for traditional tone mapping operator (TMO) converting label HDR into input SDR. Finally, 'Mid. exp. SDR' starts from a multi-exposure ...
Missing: Semi- | Show results with:Semi-
Tone mapping operators (TMOs) can compress the range of high dynamic range (HDR) images so that they can be displayed normally on the low dynamic range ...
This paper proposes a learning-based TMO using deep convolutional neural network (CNN), and introduces image quality assessments (IQA), specifically, ...
May 24, 2022 · In this work we propose a learning-based self-supervised tone mapping operator that is trained at test time specifically for each HDR image and ...
We transform the tone mapping task into a deep tone curve estimation problem. •. We propose a self-supervised model for tone mapping, avoiding the ...