Color harmonization
By Daniel Cohen-Or, Olga Sorkine-Hornung, Ran Gal, Tommer Leyvand, Ying-Qing Xu. 2006
458 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Social Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atomic and Molecular Physics, and Optics
- Alexei A. Efros
- Xiaoou Tang
- Olga Sorkine-Hornung
- Jean-François Lalonde
- Sylvain Paris
- Devi Parikh
- C. Lawrence Zitnick
- Ming-Hsuan Yang
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Xiaogang Wang
- Xiaoou Tang
- Dacheng Tao
- Chen Change Loy
- Trevor Darrell
- Jitendra Malik
In Social Psychology
Citations in the corpus
- GAN Inversion: A Survey (2021, background): “It can be seen as a variant of image harmonization [10], [146], [147].”
- Large scale visual recommendations from street fashion images (2014, methodology): “This baseline uses the popular perceptually motivated Matsuda templates [5] and the transformation is either a complementary or triad pattern for the hue histogram.”
- Using Color Compatibility for Assessing Image Realism (2007, methodology): “The Color Harmonization approach [5] adjusts the hue values of the image color-map according to a predefined set of templates that are thought to encode color harmony.”
- Adopting Abstract Images for Semantic Scene Understanding (2016, background): “In this work we study semantic importance, saliency and memorability of objects, and the relationships of these high-level concepts with each other.”
- Paint by Example: Exemplar-based Image Editing with Diffusion Models (2022, methodology): “Many methods [8–10, 27, 43, 47, 60, 63, 64] have been proposed focusing on image harmonization to make the composite look more realistic.”
- Photo and Video Quality Evaluation: Focusing on the Subject (2008, methodology): “There are various mathematical models for defining and measuring the harmony of the color of the image [14], [15].”
- Automatic Photo Adjustment Using Deep Neural Networks (2014, methodology): “In addition to these tools, there exists much research on either interactive [Lischinski et al. 2006; An and Pellacini 2008] or automatic [Bae et al. 2006; Cohen-Or et al. 2006] color and tone adjustment.”
- Content-based photo quality assessment (2011, methodology): “Harmonic templates on the hue wheel used in [3].”
- Transfusive image manipulation (2012, methodology): “, [Cohen-Or et al. 2006]) to localized pixel adjustments achieved by highly trained artists using specialized userinterfaces and software (e.”
- What Makes a Photograph Memorable? (2014, unknown): “Index Terms—Scene understanding, image memorability, global image features, attributes ✦”
- Hi, magic closet, tell me what to wear! (2012, unknown): “[7] studied the problem on how different colors can be paired together to produce a harmonious feeling.”