Inverse-Tone-Mapping
20 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Inverse-Tone-Mapping
| Trend | Dataset | Best Model | Paper | Code | Compare |
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MSU HDR Video Reconstruction Benchmark
Most implemented papers
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?
tattaka/unsupervised-hdr-imaging
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Recently, Deep Learning-based methods for inverse tone-mapping standard dynamic range (SDR) images to obtain high dynamic range (HDR) images have become very popular.
A Mixed Quantization Network for Computationally Efficient Mobile Inverse Tone Mapping
bcjuan/itmmqnet
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Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR) image, namely inverse tone mapping (ITM), is challenging due to the lack of information in over- and under-exposed regions.
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark
cs-gangxu/fdan
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Joint Super-Resolution and Inverse Tone-Mapping (joint SR-ITM) aims to increase the resolution and dynamic range of low-resolution and standard dynamic range images.
KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction
wanghu178/KUNet
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The 31st International Joint Conference On Artificial Intelligence 2022
Recently, with the rise of high dynamic range (HDR) display devices, there is a great demand to transfer traditional low dynamic range (LDR) images into HDR versions.
Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
To achieve super-resolution inverse tone mapping, we derive a continuous representation of 360-degree imaging from the LDR panorama as a set of structured latent codes anchored to the sphere.
Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping
aamir-mustafa/distil_style
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Many image enhancement or editing operations, such as forward and inverse tone mapping or color grading, do not have a unique solution, but instead a range of solutions, each representing a different style.
Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models
andreguo/hdrtvdm
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CVPR 2023
In media industry, the demand of SDR-to-HDRTV up-conversion arises when users possess HDR-WCG (high dynamic range-wide color gamut) TVs while most off-the-shelf footage is still in SDR (standard dynamic range).
Lightweight Improved Residual Network for Efficient Inverse Tone Mapping
But the majority of media images on the internet remain in 8-bit standard dynamic range (SDR) format.
Generalized Lightness Adaptation with Channel Selective Normalization
Existing methods typically work well on their trained lightness conditions but perform poorly in unknown ones due to their limited generalization ability.
Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Display
andreguo/itmlut
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The latter requires more efficiency, thus the pre-calculated LUT (look-up table) has become a popular solution.
