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https://github.com/vinthony/awesome-deep-hdr

A collection of deep learning based methods for HDR image synthesis
https://github.com/vinthony/awesome-deep-hdr

List: awesome-deep-hdr

Last synced: 11 days ago
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A collection of deep learning based methods for HDR image synthesis

Host: GitHub
URL: https://github.com/vinthony/awesome-deep-hdr
Owner: vinthony
Created: 2019-05-17T07:37:20.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2021-08-24T08:47:34.000Z (about 3 years ago)
Last Synced: 2024-05-22T05:00:38.860Z (6 months ago)
Size: 44.9 KB
Stars: 381
Watchers: 22
Forks: 49
Open Issues: 1
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

awesomeai - HDR Image Synthesis
awesome-ai-awesomeness - HDR Image Synthesis
awesome-browser-hdr - Awesome-Deep-HDR - A collection of deep learning based methods for HDR image synthesis. (Ressources / Other HDR **awesome** lists)
awesome-computer-vision - Awesome Deep HDR

README

        # Awesome-Deep-HDR

A collection of deep learning based methods for HDR image synthesis

### Challenges

* [[CVPR 2021 Workshop]](https://arxiv.org/abs/2106.01439)

### Multi-View HDR Image Synthesis

*  **_Deep high dynamic range imaging of dynamic scenes._** 


`SIGGRAPH Asia 2017` | [`Paper`](https://cseweb.ucsd.edu/~viscomp/projects/SIG17HDR/PaperData/SIGGRAPH17_HDR.pdf) | [`Project`](http://viscomp.ucsd.edu/projects/SIG17HDR/) | [`Code::matlab (Official)`](https://cseweb.ucsd.edu/~viscomp/projects/SIG17HDR/PaperData/SIGGRAPH17_HDR_Code_v1.0.zip) | [`Code::TensorFlow`](https://github.com/TH3CHARLie/deep-high-dynamic-range)


* **_Multi-scale Dense Networks for Deep High Dynamic Range Imaging_** 


`WACV 2019`  | [`Paper`](https://ieeexplore.ieee.org/document/8658831)

* **_Deep High Dynamic Range Imaging with Large Foreground Motions_**  


`ECCV 2018` | [`paper`](https://www.ecva.net/papers/eccv_2018/papers_ECCV/papers/Shangzhe_Wu_Deep_High_Dynamic_ECCV_2018_paper.pdf) | [`project & code`](https://elliottwu.com/projects/hdr/)

* **_Attention-guided Network for Ghost-free High Dynamic Range Imaging_** 
 

`CVPR 2019` | [`paper`](https://arxiv.org/abs/1904.10293) | [`code`](https://github.com/qingsenyangit/AHDRNet) | [`Project`](https://donggong1.github.io/ahdr.html)

* **_Deep HDR Imaging via A Non-Local Network_** 


`TIP 2020` | [`paper`](https://ieeexplore.ieee.org/abstract/document/8989959) | [`code`](https://github.com/tuvovan/NHDRRNet)

* **_HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions_** 


`TIP 2021` | [`paper`](https://arxiv.org/abs/2007.01628)

### Single Image HDR Reconstruction

* **_HDR image reconstruction from a single exposure using deep CNNs_** 


`SiGGRAPH Asia 2017` | [`Paper`](https://arxiv.org/abs/1710.07480) | [`Project`](http://hdrv.org/hdrcnn/)

* **_ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content_** 


`Eurographics 2018/Computer Graphics Forum` | [`paper`](https://arxiv.org/pdf/1803.02266.pdf) | [`code`](https://github.com/dmarnerides/hdr-expandnet)

* **_Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range Image_** 


`IEEE Access 2018` | [`Paper`](https://arxiv.org/abs/1801.06277) | [`Project`](https://siyeong-lee.github.io/hdr_vds_dataset/) | [`Dataset`](https://drive.google.com/drive/folders/1i7iTC6t6e_ZhyCq178V3-nN-IS5-5WOe)

* **_Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks_**


`ECCV 2018` | [`Paper`](http://openaccess.thecvf.com/content_ECCV_2018/papers/Siyeong_Lee_Deep_Recursive_HDRI_ECCV_2018_paper.pdf) |  [`code`](https://github.com/Siyeong-Lee/Deep_Recursive_HDRI)

* **_Deep Reverse Tone Mapping_**  


`SIGGRAPH ASIA 2017` | [`Paper`](http://www.npal.cs.tsukuba.ac.jp/~endo/projects/DrTMO/paper/DrTMO_SIGGRAPHAsia.pdf) | [`project & code`](http://www.npal.cs.tsukuba.ac.jp/~endo/projects/DrTMO/)

* **_Hybrid Loss for Learning Single-Image-based HDR Reconstruction_** 


`ArXiv 2018` | [`Paper`](https://arxiv.org/abs/1812.07134)

* **_FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback Network_** 
 

`Global SIP 2019` | [`Paper`](https://arxiv.org/abs/1912.11463) | [`Code`](https://github.com/mukulkhanna/fhdr)

* **_Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss_**  


`SIGGRAPH 2020` | [`Paper`](https://arxiv.org/abs/2005.07335) | [`Code`](https://github.com/marcelsan/Deep-HdrReconstruction)

*  **_Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline_** 


`CVPR 2020` | [`Paper`](https://arxiv.org/abs/2004.01179) | [`Code`](https://github.com/alex04072000/SingleHDR)

* **_End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images_** 


`AAAI 2021` | [`Paper`](https://arxiv.org/pdf/2006.15833.pdf)

* **_Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas_** 


`ArXiv 2021` | [`Paper`](https://arxiv.org/pdf/2103.12926.pdf)

### HDR Video

* **_Deep HDR Video from Sequences with Alternating Exposures_** 


`Eurographics 2019` | [`Paper`](https://people.engr.tamu.edu/nimak/Data/Eurographics19_HDRVideo.pdf)

* **_Single-frame Regularization for Temporally Stable CNNs_** 


`CVPR 2019` | [`project`](http://hdrv.org/hdrcnn/cvpr2019)

* **_Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications_** 
 

`ICCV 2019`| [`paper`](https://arxiv.org/abs/1904.11176)

* **_JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video_** 
 

`AAAI 2020`| [`paper`](https://arxiv.org/abs/1909.04391)

* **_HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset_** 


 `ICCV 2021` | [`ArXiv`](https://arxiv.org/pdf/2103.14943.pdf) | [`Project`](https://guanyingc.github.io/DeepHDRVideo/) | [`Code::Pytorch`](https://github.com/guanyingc/DeepHDRVideo) | [`Dataset`](https://github.com/guanyingc/DeepHDRVideo-Dataset)

* **_A New Journey from SDRTV to HDRTV_** 


 `ICCV 2021` | [`code`](https://github.com/chxy95/HDRTVNet)

 

### Dataset

* [[Kalantari Dataset in SIGGRAPH17]](https://cseweb.ucsd.edu/~viscomp/projects/SIG17HDR/)

* [[CVPR19 Single Frame]](https://alex04072000.github.io/SingleHDR/)

* [[NTIRE 2021 High Dynamic Range Challenge (Track 1 Single Frame)]](https://competitions.codalab.org/competitions/28161#participate-get-data)

* [[NTIRE 2021 High Dynamic Range Challenge (Track 2 Multi Frame)]](https://competitions.codalab.org/competitions/28162)

> updating

### Related

* **_Deep Bilateral Learning for Real-Time Image Enhancement_** 
 

`SIGGRAPH 2017`| [`project`](https://groups.csail.mit.edu/graphics/hdrnet/)

* **_Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time_** 


`TPAMI 2020` | [`Paper`](https://arxiv.org/abs/2009.14468) | [`Code`](https://github.com/HuiZeng/Image-Adaptive-3DLUT)

* _HDR MATLAB/Octave Toolbox_ 


[[Github]](https://github.com/banterle/HDR_Toolbox)