Curated Design + AI resources such as papers, datasets, events, companies, etc. Papers and events are sorted by time (newest first).
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| Title | Publication | Links |
|---|---|---|
| Learning to Select Elements for Graphic Design | ICMR '20 | paper |
| Artificial Intelligence in the Creative Industries: A Review | arXiv 2020 | paper |
| Neural Design Network: Graphic Layout Generation with Constraints | ECCV 2020 | paper |
| Bionic Face Sketch Generator | IEEE Transactions on Cybernetics 2020 | paper |
| Attribute-conditioned Layout GAN for Automatic Graphic Design | IEEE Transactions on Visualization and Computer Graphics 2020 | paper |
| Category, process, and recommendation of design in an interactive evolutionary computation interior design experiment: a data-driven study | Cambridge University Press 2020 | paper |
| Beauty in artistic expressions through the eyes of networks and physics | Journal of the Royal Society Interface 2020 | paper |
| Predicting A Creator's Preferences In, and From, Interactive Generative Art | arXiv 2020 | paper |
| Let Me Choose: From Verbal Context to Font Selection | ACL 2020 | paper |
| ICONATE: Automatic Compound Icon Generation and Ideation | CHI 2020 | paper |
| ManiGAN: Text-Guided Image | CVPR 2020 | paper, code |
| Designing with AI for Digital Marketing | ACM UMAP 2020 | paper |
| Content-aware Generative Modeling of Graphic Design Layouts | SIGGRAPH 2019 | paper, code |
| May AI?: Design Ideation with Cooperative Contextual Bandits | CHI 2019 | paper |
| LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators | ICLR 2019 | paper, code |
| Enabling Hyper-Personalisation: Automated Ad Creative Generation and Ranking for Fashion e-Commerce | recsysXfashion’19 | paper |
| GANalyze: Toward Visual Definitions of Cognitive Image Properties | ICCV 2019 | paper, code |
| Large Scale GAN Trainning for High Fidelity Natural Image Synthesis | ICLR 2019 | paper, code |
| Exemplar based experience transfer | IUI 2019 | paper |
| Graphic Narrative with Interactive Stylization Design | arXiv 2017 | paper |
| Automatic Generation of Visual-Textual Presentation Layout | TOMM 2017 | paper |
| Automatic Content-Aware Color and Tone Stylization | CVPR 2016 | paper, code |
| Learning Layouts for Single-Page Graphic Designs | TVCG 2014 | paper material |
| Automating Layouts Bring Flipboard’s Magazine Style To Web And Windows | TechCrunch 2014 | paper |
| Automatic Design of Colors for Magazine Covers | Imaging and Printing in a Web 2.0 World IV 2013 | paper |
| Title | Scale | Annotation | Year | Links |
|---|---|---|---|---|
| PubLayNet | over 1.1 million | layout | 2019 | github paper |
| BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography | 6,500,0000+ | Emotions, media, objects | 2017 | paper download |
| Rico: A Mobile App Dataset for Building Data-Driven Design Applications | 9,3000+ Android App | UI metadata, layout, animations, Play Store metadata, screenshots with semantic annotations | 2017 | paper download |
| Photo aesthetics ranking network with attributes and content adaptation | 10,000+ | Aesthetics, Attributes | 2016 | paper download |
| AVA: A large-scale database for aesthetic visual analysis | 250,000+ | Aesthetics, content, style | 2012 | paper download |
| Title | Links |
|---|---|
| CVPR Workshop on Computer Vision for Fashion, Art and Design | 2020, 2019 |
| NeurIPS Workshop on Machine Learning for Creativity and Design | 2019, 2018, 2017 |
| IEEE Workshop on Artificial Intelligence for Art Creation | 2021 |
| Name | Description | Found | Links |
|---|---|---|---|
| facet.ai | Facet is a content-aware image editor for crafting stunning visual stories. | 2017 | blog |
| Inmagine | Inmagine is a creative ecosystem encompassing various creative assets and business models. It is on a mission to make design easy for everyone by using artificial intelligence. Design.ai is one among its creative ecosystem who provide AI powered tools. | 2001 | news |
| Name | Description | Links |
|---|---|---|
| IBM Design for AI | This is a online course offered by IBM to teach people or a team how to apply design thinking to artificial intelligence. | Links |
| ColorGram | colorgram.py is a Python library that lets you extract colors from images. Compared to other libraries, the colorgram algorithm's results are more intense. | repo |
| Name | Authors | Year | Links |
|---|---|---|---|
| Know Your Onions: Graphic Design | Drew de Soto | 2014 | amazon |
| Grid systems in graphic design | Josef Müller-Brockmann | 1996 | amazon |