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Found 5 papers, 2 papers with code
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?
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.
Deep HDR Hallucination for Inverse Tone Mapping
Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from Low Dynamic Range (LDR) image content.
Deep Controllable Backlight Dimming
Dual-panel displays require local dimming algorithms in order to reproduce content with high fidelity and high dynamic range.
Spectrally Consistent UNet for High Fidelity Image Transformations
Convolutional Neural Networks (CNNs) are the current de-facto models used for many imaging tasks due to their high learning capacity as well as their architectural qualities.
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.
