Perceptually‐based Color Assignment

Kim, Hye-Rin; Yoo, Min-Joon; Kang, Hyung Seok; Lee, In-Kwon

doi:10.1111/cgf.12499

Cited by 18 publications

(6 citation statements)

References 27 publications

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“…Since the pattern coloring with the five‐color palette has 5! = 120 possible pattern coloring combinations, we employed the color assignment method proposed in [KYKL14] for coloring and selected the top‐ranked results in Fig. .…”

Section: Resultsmentioning

confidence: 99%

“…Various color harmony theories, such as Goethe's thought-provoking color theory [Goe71], were proposed near the end of the 18th century and throughout the 19th century. [LRFH13], and Kim et al proposed a method based on color perception theories to assign color to 2D patterns automatically [KYKL14]. The color theory proposed by Moon and Spencer [MS44], which was based on the mathematical analysis of a user study, represents the beginning of modern color harmony theory.…”

Section: Related Workmentioning

confidence: 99%

“…Wang et al proposed a data‐driven approach to convert a target image based on a given color theme [WYW*10], while Chang et al proposed a method for recoloring a photograph based on a color palette [CFL*15]. Lin et al proposed a probabilistic factor graph model to color 2D patterns automatically [LRFH13], and Kim et al proposed a method based on color perception theories to assign color to 2D patterns automatically [KYKL14]. Employing the color compatibility rating model proposed in [OAH11] as the one of the terms to be optimized in the optimization problems they formulated, Yu et al proposed outfit synthesis (fashion design) [YYTC12], and, as mentioned previously, Lin et al employed the model ratings as a global aesthetic term for 2D pattern coloring [LRFH13].…”

Section: Related Workmentioning

confidence: 99%

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Aesthetic Rating and Color Suggestion for Color Palettes

Kita

Miyata

2016

Computer Graphics Forum

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Figure 1: The proposed method can rate a given color palette with any number of colors relative to human aesthetic preferences. The proposed method suggests a compatible color for the given palette, which allows us to expand the palette while retaining color harmony to support user exploration of color design. AbstractA model to rate color combinations that considers human aesthetic preferences is proposed. The proposed method does not assume that a color palette has a specific number of colors, i.e., input is not restricted to a two-, three-, or five-color palettes. We extract features from a color palette whose size does not depend on the number of colors in the palette. The proposed rating prediction model is trained using a human color preference dataset. The model allows a user to extend a color palette, e.g., from three colors to five or seven colors, while retaining color harmony. In addition, we present a color search scheme for a given palette and a customized version of the proposed model for a specific color tone. We demonstrate that the proposed model can also be applied to various palette-based applications.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Aesthetic Rating and Color Suggestion for Color Palettes

Kita

Miyata

2016

Computer Graphics Forum

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“…Wang 等 [8] 对散点图的配色进行优化, 在该方法中, 颜色的选取属于局部选择. Kim 等 [9] 则对 2D 图片模板配色问题进行研究, 在该方法中, 对调色板的颜色数量有限制要求. Lin 等 [10] 提出了一种选择语义相关颜色的方法并证明方法的有效性.…”

Section: 基于上述思想他们提出了一种通过优化给定调unclassified

Perception and Harmony Guided Color Assignment Optimization for Multi-Charts

Wang¹,

Hu²

2021

J Comput-Aided Design Comput Graphics

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In order to ensure the visual effect and unity of color mapping of multi-charts among the data with the same category, it is proposed to study the color assignment optimization problems on multi-charts, which introduces a score defined based on perception and harmony to guide the joint color assignment optimization. When given the data plotted with multi-charts and the color palette, first the quality of the color palette is evaluated. If the color palette is of high quality, the proposed method will directly optimize the color assignment. Otherwise, the color palette needs to be optimized first. Several user studies are conducted to show that the proposed method can ensure the unity of multi-charts color mapping and improve the quality of visualization results.

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“…Lu et al [LKPL14] proposed a hierarchical unsupervised learning approach to learn compatible color combinations from a large dataset. Kim et al [KYKL14] presented a novel method for automatic color assignment based on theories of color perception.…”

Section: Related Workmentioning

confidence: 99%

Interactive Design and Preview of Colored Snapshots of Indoor Scenes

Yan

et al. 2020

Computer Graphics Forum

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This paper presents an interactive system for quickly designing and previewing colored snapshots of indoor scenes. Different from high-quality 3D indoor scene rendering, which often takes several minutes to render a moderately complicated scene under a specific color theme with high-performance computing devices, our system aims at improving the effectiveness of color theme design of indoor scenes and employs an image colorization approach to efficiently obtain high-resolution snapshots with editable colors. Given several pre-rendered, multi-layer, gray images of the same indoor scene snapshot, our system is designed to colorize and merge them into a single colored snapshot. Our system also assists users in assigning colors to certain objects/components and infers more harmonious colors for the unassigned objects based on pre-collected priors to guide the colorization. The quickly generated snapshots of indoor scenes provide previews of interior design schemes with different color themes, making it easy to determine the personalized design of indoor scenes. To demonstrate the usability and effectiveness of this system, we present a series of experimental results on indoor scenes of different types, and compare our method with a state-of-the-art method for indoor scene material and color suggestion and offline/online rendering software packages. CCS Concepts • Applied computing → Computer-aided design; • Computing methodologies → Graphics systems and interfaces; Rendering;

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Perceptually‐based Color Assignment

Cited by 18 publications

References 27 publications

Aesthetic Rating and Color Suggestion for Color Palettes

Aesthetic Rating and Color Suggestion for Color Palettes

Perception and Harmony Guided Color Assignment Optimization for Multi-Charts

Interactive Design and Preview of Colored Snapshots of Indoor Scenes

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