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A collection of deep learning based methods for HDR image synthesis

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Awesome-Deep-HDR

A collection of deep learning based methods for HDR image synthesis

Multi-view hdr image synthesis

Single image hdr reconstruction

  • HDR image reconstruction from a single exposure using deep CNNs (SiGGRAPH Asia 2017)
    [Paper] [Project]

  • Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range Image (IEEE Access 2018)
    [Paper]

  • Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks (ECCV 2018)
    [Paper] [Code]

  • Deep Reverse Tone Mapping (SIGGRAPH ASIA 2017)
    [Paper] [Project & Code]

  • Hybrid Loss for Learning Single-Image-based HDR Reconstruction (ArXiv 2018)
    [Paper]

  • FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback Network (Global SIP 2019)
    [Paper] [Code]

  • Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss (SIGGRAPH 2020)
    [Paper] [Code]

  • Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline (CVPR 2020)
    [Paper] [Code]

  • Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time (TPAMI 2020)
    [Paper] [Code]

HDR Video

  • Deep HDR Video from Sequences with Alternating Exposures (Eurographics 2019)
    [Paper]

  • Single-frame Regularization for Temporally Stable CNNs
    (CVPR 2019) [project]

  • JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video (AAAI 2020)
    [ArXiv]

Dataset

  • Kalantari dataset: (for HDR synthesis) [link]

updating

Related

  • Deep Bilateral Learning for Real-Time Image Enhancement (SIGGRAPH 2017)
    [project]
  • HDR MATLAB/Octave Toolbox
    [Github]

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A collection of deep learning based methods for HDR image synthesis

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