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Collection of Aesthetics Assessment Papers for Graphic Designs and Images.

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Aesthetics Assessment Sources (Graphic Designs/Images)

This repo focuses mainly on Graphic Designs. It includes both Heuristic (Rule-Based) and AI-based approaches.

Graphic Design Aesthetics Assessment

These papers, though diverse, collectively shed light on the subjective and evolving nature of graphic design aesthetics.

intro

Relevant Datasets

Dataset Description Details
Rico UI designs of android applications screenshots + wireframes + annotations
Enrico Manually curated RICO -
Clay Human-annotated RICO -
Crello Design templates from crello.com Detailed attributes of canvas and elements + element-wise images
PubLayNet Document Images Canvas + Layout annotations
Pitts Ad Banner Ads Images Images + Annotations
Ad Banner Filtered from Pitts Ad Banner Design + Inpainted Bg images + Foreground patches
Magazine Magazine Images Incomplete background images, Masked out foreground layouts from the background
CGL Advertising Posters Poster images + layout annotations
PKU Poster-layout pairs Original Posters + Inpainted Bg images + Saliency Maps
Desigen Bg Image + Layout annotations + meta-data (Whole Design is not there)
Web-Aesthetics Webpage images + ratings Individual ratings + pair-wise comparison ratings
Imp1k 1000 designs Designs + saliency maps
LabintheWild
Package Design Graphic design templates for packaging Includes product URLs, titles, average ratings, number of sales, prices, date published, date updated, and more
Poster-Erase Advertising Posters Partially labeled dataset (labels: posters with text erased)
STEFANN Font style dataset 64x64 grayscale images of 62 English alphanumeric characters (10 numerals + 26 upper-case letters + 26 lower-case letters)
Tag-based Font Font style dataset Fonts + tags
Font Attribute Font style dataset Fonts + personality attributes

2024

  • Graphic Design with Large Multimodal Model (Arxiv) [Paper] [Code] (Introduced 2 new metrics: IOPR and GPT-4V Eval)
  • Visual Explanation for Advertising Creative Workflow (CHI EA) [Paper] [Video]
  • Development and Evaluation of a Custom GPT for the Assessment of Students’ Designs in a Typography Course (Journal: Educ. Sci.) [Paper]
  • An interpretable metric of visual aesthetics for GUI design (Journal: Behaviour & Information Technology) [Paper]
  • Utilizing Multiple Regression Analysis and Entropy Method for Automated Aesthetic Evaluation of Interface Layouts (Journal: Symmetry) [Paper]

2023

  • Contextual Font Recommendations based on User Intent (SIGIR eCom) [Paper]
  • A Quality Model-based Approach for Measuring User Interface Aesthetics with Grace (ACM Transactions on Human–Computer Interaction) [Paper]
  • Machine Learning Model to Evaluate the Appropriateness of Layout for Automatic Generation of Graphic Design Works (IMCOM) [Paper]
  • Color Recommendation for Vector Graphic Documents based on Multi-Palette Representation (WACV) [Paper]

2022

  • Design Order Guided Visual Note Layout Optimization (IEEE Transactions on Visualization and Computer Graphics) [Paper]
  • Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference (IEEE Transactions on Visualization and Computer Graphics) [Paper]
  • Optimization approaches for graphical layout design (Aalto University publication series) [Thesis]
  • Assessing the Visual Esthetics of User Interfaces: A Ten-Year Systematic Mapping (Journal: Human-Computer Interaction) [Paper]
  • Product Aesthetic Design: A Machine Learning Augmentation (Marketing Science) [Paper]

2021

  • Grid-based Genetic Operators for Graphical Layout Generation (ACM on Human-Computer Interaction) [Paper] [Project]
  • RUITE: Refining UI Layout Aesthetics Using Transformer Encoder (IUI) [Paper] [Code]
  • Selective Region-based Photo Color Adjustment for Graphic Designs (ACM Transactions on Graphics) [Paper]
  • A Novel Webpage Layout Aesthetic Evaluation Model for Quantifying Webpage Layout Design (Information Sciences: an International Journal) [Paper]
  • Beyond Beauty: Towards a Deeper Understanding of Aesthetics in HCI (CHI EA) [Paper]

2020

  • Predicting Visual Importance Across Graphic Design Types (UIST) [Paper] [Code] [Project]
  • Let Me Choose: From Verbal Context to Font Selection (ACL) [Paper]
  • Attribute2Font: creating fonts you want from attributes (ACM Transactions on Graphics) [Paper]

2019

  • Webthetics: Quantifying webpage aesthetics with deep learning (International Journal of Human-Computer Studies) [Paper] [Code]
  • Context-Aware Asset Search for Graphic Design (IEEE Transactions on Visualization and Computer Graphics) [Paper]
  • Large-scale Tag-based Font Retrieval with Generative Feature Learning (ICCV) [Paper] [Project]

2018

  • What Characterizes Personalities of Graphic Designs? (ACM Transactions on Graphics) [Paper] [Project] [Code]
  • Understanding the Impact of Perceived Visual Aesthetics on User Evaluations: An Emotional Perspective (Journal of Information & Management) [Paper]
  • Metrics-Based Evaluation of Graphical User Interface Aesthetics: The Segmentation Problem (ISS) [Paper]
  • Font Style Transfer Using Deep Learning (Antanas Kascenas) [Report]
  • Visual complexity of graphical user interfaces (AVI) [Paper]

2017

  • Learning Visual Importance for Graphic Designs and Data Visualizations (UIST) [Paper [Code]

2016

  • Aesthetic Measures for Document Layouts: Operationalization and Analysis in the Context of Marketing Brochures (DocEng) [Paper]

<= 2015

  • A Mathematical Theory of Interface Aesthetics (Ngo Metrics) [Article]
  • DesignScape: Design with Interactive Layout Suggestions (CHI) [Paper] [Project]
  • Quantifying visual preferences around the world (CHI) [Paper] [Project]
  • Learning Layouts for Single-Page Graphic Designs (IEEE Transactions on Visualization and Computer Graphics) [Paper] [Project]
  • Learning Design: Aesthetic Models for Color, Layout, and Typography (O'Donovan, Peter) [Thesis]
  • Exploratory Font Selection Using Crowdsourced Attributes (ACM Transactions on Graphics) [Paper] [Project]
  • Aesthetic Measures for Assessing Graphic Screens (Journal: Information Science and Engineering) [Paper]
  • Aesthetic measures for automated document layout (DocEng) [Paper]
  • DON: User Interface Presentation Design Assistant (UIST) [Paper]
  • GUILayout++: Supporting prototype creation and quality evaluation for abstract user interface generation (Workshop of ACM SIGCHI Symposium on Engineering Interactive Computing) [Paper]
  • Basics of DESIGN layout and typography for beginners (Lisa Graham) [Book]
  • Towards a Quantitative Evaluation of Layout Using Graphic Design Principles (Mosora, Daniel J.) [Thesis]
  • Metric-Based Evaluation of Graphical User Interfaces: Model, Method, and Software Support (EICS) [Paper]
  • Towards an Evaluation of Graphical User Interfaces Aesthetics based on Metrics (RCIS) [Paper]
  • Quantifying aesthetics of visual design applied to automatic design (Ali Jahanian) [Thesis]
  • Visual and Textual Consistency Checking Tools for Graphical User Interfaces (IEEE Transactions on Software Engineering) [Paper]
  • Aesthetic measures for automated document layout (ACM Symposium on Document Engineering) [Paper]
  • Color compatibility from large datasets (SIGGRAPH) [Paper]
  • Another look at a model for evaluating interface aesthetics (Journal: Applied Mathematics and Computer Science) [Paper]
  • Computation of Interface Aesthetics (ACM CHI) [Paper]
  • Color harmonization (SIGGRAPH) [Paper]
  • Visual complexity and aesthetic perception of web pages (SIGDOC) [Paper]

Blogs

Image Aesthetics Assessment

2023

  • Thinking Image Color Aesthetics Assessment: Models, Datasets, and Benchmarks (ICCV) [Paper] [Code]
  • Towards Transparent Deep Image Aesthetics Assessment with Tag-based Content Descriptors (IEEE Transactions on Image Processing) [Paper]

2022

  • LAION-AI Aesthetics Predictor [Code]
  • Distilling Knowledge From Object Classification to Aesthetics Assessment (IEEE Transactions on Circuits and Systems for Video Technology) [Paper]

2020

  • Toward Quantifying Ambiguities in Artistic Images (ACM Transactions on Applied Perception) [Paper]

2016

  • Photo Aesthetics Ranking Network with Attributes and Content Adaptation (ECCV) [Paper] [Code]

<= 2015

  • Rating Image Aesthetics Using Deep Learning (IEEE Transactions on Multimedia) [Paper]
  • Computing Aesthetics (Advances in Artificial Intelligence) [Paper]
  • Studying Aesthetics in Photographic Images Using a Computational Approach (ECCV) [Paper]