inverse tone mapping
12 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in inverse tone mapping
Most implemented papers
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.
Luminance Attentive Networks for HDR Image and Panorama Reconstruction
lwt3437/lanet
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Based on this observation, we propose a novel normalization method called " HDR calibration " for HDR images stored in relative luminance, calibrating HDR images into a similar luminance scale according to the LDR images.
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.
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.
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.
