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Awesome Image Harmonization Awesome

A curated list of resources including papers, datasets, and relevant links pertaining to image harmonization.

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Table of Contents

Papers

Supervised deep learning methods

  • Wenyan Cong, Li Niu, Jianfu Zhang, Jing Liang, Liqing Zhang: "BargainNet: Background-Guided Domain Translation for Image Harmonization." ICME (2021) [pdf] [code].

  • Konstantin Sofiiuk, Polina Popenova, Anton Konushin: "Foreground-aware Semantic Representations for Image Harmonization." WACV (2021) [pdf] [code]

  • Guoqing Hao, Satoshi Iizuka, Kazuhiro Fukui: "Image Harmonization with Attention-based Deep Feature Modulation." BMVC (2020) [pdf] [code]

  • Wenyan Cong, Jianfu Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang: "DoveNet: Deep Image Harmonization via Domain Verification." CVPR (2020) [pdf] [code].

  • Xiaodong Cun, Chi-Man Pun: "Improving the Harmony of the Composite Image by Spatial-Separated Attention Module." IEEE Trans. Image Process. 29: 4759-4771 (2020) [pdf] [code]

  • Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang: "Deep Image Harmonization." CVPR (2017) [pdf] [code]

Unsupervised deep learning methods

  • Anand Bhattad, David A. Forsyth: "Cut-and-Paste Neural Rendering." arXiv preprint arXiv: 2010.05907 (2020) [pdf]
  • Fangneng Zhan, Shijian Lu, Changgong Zhang, Feiying Ma, Xuansong Xie:"Adversarial Image Composition with Auxiliary Illumination." ACCV (2020) [pdf]
  • Bor-Chun Chen, Andrew Kae: "Toward Realistic Image Compositing With Adversarial Learning." CVPR (2019) [pdf]

Traditional methods

  • Shuangbing Song, Fan Zhong, Xueying Qin, Changhe Tu: "Illumination Harmonization with Gray Mean Scale." Advances in Computer Graphics. CGI (2020) [pdf]
  • Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros: "Learning a Discriminative Model for the Perception of Realism in Composite Images." ICCV (2015) [pdf] [code]
  • Su Xue, Aseem Agarwala, Julie Dorsey, Holly E. Rushmeier: "Understanding and improving the realism of image composites." ACM Trans. Graph. 31(4): 84:1-84:10 (2012) [pdf]
  • Kalyan Sunkavalli, Micah K. Johnson, Wojciech Matusik, Hanspeter Pfister: "Multi-scale image harmonization." ACM Trans. Graph. 29, 4 (2010) [pdf]
  • Jue Wang, Maneesh Agrawala, Michael F. Cohen. 2007: "Soft scissors: an interactive tool for realtime high quality matting." ACM Trans. Graph. 26, 3 (2007) [pdf]
  • Jean-François Lalonde, Alexei A. Efros: "Using Color Compatibility for Assessing Image Realism." ICCV (2007) [pdf] [code]
  • Daniel Cohen-Or, Olga Sorkine, Ran Gal, Tommer Leyvand, Ying-Qing Xu: "2006. Color harmonization." ACM Trans. Graph. 25, 3 (2006) [pdf]
  • Jiaya Jia, Jian Sun, Chi-Keung Tang, Heung-Yeung Shum: "Drag-and-drop pasting." ACM Trans. Graph. 25, 3 (2006) [pdf]
  • Patrick Pérez, Michel Gangnet, Andrew Blake: "Poisson image editing." ACM Trans. Graph. 22, 3 (2003) [pdf]

Datasets

  • iHarmony4: It contains four subdatasets: HCOCO, HAdobe5k, HFlickr, Hday2night, with a total of 73,146 pairs of unharmonized images and harmonized images. [link]
  • GMSDataset: It contains 183 images with image resolution of 1940*1440. It consists of 16 different objects and for each object, one source image and 11 target images in different background scenes and illumination conditions are captured. [paper] [link] (access code: ekn2)
  • RHHarmony: A rendered image harmonization dataset, which contains 15000 ground-truth rendered images and has the potential to generate 135000 composite rendered images. [link]

Related topics

  • Jing Liang, Li Niu, Liqing Zhang: "Inharmonious Region Localization." ICME (2021) [pdf]
  • Haozhi Huang, Senzhe Xu, Junxiong Cai, Wei Liu, Shimin Hu: "Temporally Coherent Video Harmonization Using Adversarial Networks." IEEE Trans. Image Process. 29: 214-224 (2020) [pdf]

Other resources

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