Tone Mapping
34 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Tone Mapping
NILUT
Most implemented papers
Unprocessing Images for Learned Raw Denoising
google-research/google-research
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CVPR 2019
Machine learning techniques work best when the data used for training resembles the data used for evaluation.
Dirty Pixels: Towards End-to-End Image Processing and Perception
princeton-computational-imaging/DirtyPixels
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As such, conventional imaging involves processing the RAW sensor measurements in a sequential pipeline of steps, such as demosaicking, denoising, deblurring, tone-mapping and compression.
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content
This paper presents a method for generating HDR content from LDR content based on deep Convolutional Neural Networks (CNNs) termed ExpandNet.
Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks
Siyeong-Lee/Deep_Recursive_HDRI
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ECCV 2018
Because most images have a low dynamic range, recovering the lost dynamic range from a single low dynamic range image is still prevalent.
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
Joint SR and ITM is an intricate task, where high frequency details must be restored for SR, jointly with the local contrast, for ITM.
Side Window Filtering
wang-kangkang/SideWindowFilter-pytorch
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CVPR 2019
In addition to image filtering, we further show that the SWF principle can be extended to other applications involving the use of a local window.
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video
Joint learning of super-resolution (SR) and inverse tone-mapping (ITM) has been explored recently, to convert legacy low resolution (LR) standard dynamic range (SDR) videos to high resolution (HR) high dynamic range (HDR) videos for the growing need of UHD HDR TV/broadcasting applications.
Image Demoireing with Learnable Bandpass Filters
zhenngbolun/Learnbale_Bandpass_Filter
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CVPR 2020
Image demoireing is a multi-faceted image restoration task involving both texture and color restoration.
STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement
zzyfd/STAR-pytorch
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ICCV 2021
STAR is a general architecture that can be easily adapted to different image enhancement tasks.
Deep Reformulated Laplacian Tone Mapping
linmc86/Deep-Reformulated-Laplacian-Tone-Mapping
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The reformulated Laplacian pyramid always decompose a WDR image into two frequency bands where the low-frequency band is global feature-oriented, and the high-frequency band is local feature-oriented.
