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
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.
Tone Mapping Based on Multi-scale Histogram Synthesis
HVS perceives luminance differently when under different adaptation levels, and therefore our algorithm uses functions built upon different scales to tone map pixels to different values.
H-GAN: the power of GANs in your Hands
sergiuoprea/hgan
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Relying on image-to-image translation, we improve the appearance of synthetic hands to approximate the statistical distribution underlying a collection of real images of hands.
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.
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation
NJUVISION/CBUnet
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Image signal processing (ISP) is crucial for camera imaging, and neural networks (NN) solutions are extensively deployed for daytime scenes.
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.
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields
Our voxel-based volume rendering pipeline reconstructs HDR radiance fields with only multi-view LDR images taken from varying camera settings in an end-to-end manner and has a fast convergence speed.
UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Network
j-fhu/udcunet
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Particularly, flare and blur in UDC images could severely deteriorate the user experience in high dynamic range (HDR) scenes.
