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
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.
A Two-stage Deep Network for High Dynamic Range Image Reconstruction
sharif-apu/twostageHDR_NTIRE21
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Notably, our proposed method aims to reconstruct an HDR image without knowing hardware information, including camera response function (CRF) and exposure settings.
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.
