/Awesome-Image-Colorization-with-Deep-Learning

This is a collection of paper related to image colorization with deep learning.

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Awesome-Image-Colorization-with-Deep-Learning Awesome

This is a collection of recent papers that is related to image colorization with deep learning.

Papers

2021

  • Towards Vivid and Diverse Image Colorization with Generative Color Prior [Paper]

    • Wu, Yanze, et al. "Towards Vivid and Diverse Image Colorization with Generative Color Prior." (ICCV 2021)

  • Colorization transformer [Paper] [Tensorflow] [OpenReview]

    • Kumar, Manoj, Dirk Weissenborn, and Nal Kalchbrenner. "Colorization transformer." (ICLR 2021)

2020

  • Instance-aware image colorization [Paper] [Pytorch]

    • Su, Jheng-Wei, Hung-Kuo Chu, and Jia-Bin Huang. "Instance-aware image colorization." (CVPR 2020)

  • Time-travel rephotography [Paper] [Website] [Code]

    • Luo, Xuan, et al. "Time-travel rephotography." (Arxiv 2020)

  • Chromagan: Adversarial picture colorization with semantic class distribution [Paper] [Keras]

    • Vitoria, Patricia, Lara Raad, and Coloma Ballester. "Chromagan: Adversarial picture colorization with semantic class distribution." (WACV 2020)

2019

  • Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks [Paper] [Pytorch]

    • Yoo, Seungjoo, et al. "Coloring with limited data: Few-shot colorization via memory augmented networks." (CVPR 2019)

  • Fully automatic video colorization with self-regularization and diversity [Paper] [Pytorch]

    • Lei, Chenyang, and Qifeng Chen. "Fully automatic video colorization with self-regularization and diversity." (CVPR 2019)

2018

  • Pixel-level Semantics Guided Image Colorization [Paper]
    • Zhao, Jiaojiao, et al. "Pixel-level semantics guided image colorization." (BMVC 2018)

2017

  • Learning Diverse Image Colorization [Paper] [Tensorflow]

    • Deshpande, Aditya, et al. "Learning diverse image colorization." (CVPR 2017)

  • Image-to-Image Translation with Conditional Adversarial Networks [Paper] [Pytorch]

    • Isola, Phillip, et al. "Image-to-image translation with conditional adversarial networks." (CVPR 2017)

  • Real-Time User-Guided Image Colorization with Learned Deep Priors [Paper] [Pytorch]

    • Zhang, Richard, et al. "Real-time user-guided image colorization with learned deep priors." (SIGGRAPH 2017)

2016

  • Colorful Image Colorization [Paper] [Pytorch] [Website]

    • Zhang, Richard, Phillip Isola, and Alexei A. Efros. "Colorful image colorization." (ECCV 2016)

  • Learning Representations for Automatic Colorization [Paper] [Caffe]

    • Isola, Phillip, et al. "Image-to-image translation with conditional adversarial networks." (ECCV 2016)

2015

  • Deep Colorization [Paper]
    • Cheng, Zezhou, Qingxiong Yang, and Bin Sheng. "Deep colorization." (ICCV 2015)

Datasets

Evaluation Metrics

TODO: Python implementation for FID and LPIPS

Surveys

  • Image colorization: A survey and dataset [Paper]
    • Anwar, Saeed, et al. "Image colorization: A survey and dataset." (Arxiv 2020)

Related Repositories

  1. Awesome-Image-Colorization
  2. Awesome-Deep-Colorization
  3. Colorization

Contacts

zhengsh at kean dot edu