🎁 💎 🚀 Useful resources for creating Design Artificial Intelligence
Title | Publication | Links |
---|---|---|
Endless Loops: Detecting and Animating Periodic Patterns in Still Images | SIGGRAPH 2021 | paper |
Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels 通过屏幕截图识别UI语义 |
CHI 2021 | paper |
House-GAN++: Generative Adversarial Layout Refinement Networks 建筑平面图生成 |
CVPR 2021 | paper 笔记 |
Vinci: An Intelligent Graphic Design System for Generating Advertising Posters 用于生成广告海报的智能图形设计系统 |
CHI 2021 | paper |
Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation 漫画自动生成系统:将影视生成为风格化多页布局和文字气泡 |
2021 | paper |
Predicting Visual Importance Across Graphic Design Types 跨平面设计类型预测视觉重要性 |
UIST 2020 | paper |
Symbol Spotting on Digital Architectural Floor Plans Using a Deep Learning-based Framework 使用深度学习在建筑平面图上检测符号 |
CVPR2020 | paper |
GRIDS: Interactive Layout Design with Integer Programming 自动布局生成之基于网格的布局 |
CHI 2020 | paper code 笔记 |
End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph 使用带属性和关系的图数据,生成平面布置图 |
2020 | paper |
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only 根据语言描述自动设计户型 |
CVPR 2020 | paper code |
Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders 自动完成用户界面布局设计 |
2020 | paper |
RealitySketch:Embedding Responsive Graphics and Visualizations in AR through Dynamic Sketching 在AR中嵌入响应式图形和可视化 |
UIST 2020 | paper 笔记 |
Artificial Intelligence in the Creative Industries: A Review 综述:人工智能在创意产业的应用 |
arXiv 2020 | paper 笔记 |
Neural Design Network: Graphic Layout Generation with Constraints 基于约束的布局生成 |
ECCV 2020 | paper 笔记 |
Attribute-conditioned Layout GAN for Automatic Graphic Design 使用GAN的自动平面设计 | 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 预测使用者对艺术的偏好 |
arXiv 2020 | paper |
Let Me Choose: From Verbal Context to Font Selection 根据语义自动选择字体 |
ACL 2020 | paper |
ICONATE: Automatic Compound Icon Generation and Ideation 图标组合与生成 |
CHI 2020 | paper 笔记 |
ManiGAN: Text-Guided Image Manipulation | CVPR 2020 | paper code |
Designing with AI for Digital Marketing 数字营销中的人工智能设计 |
ACM UMAP 2020 | paper |
Content-aware Generative Modeling of Graphic Design Layouts | SIGGRAPH 2019 | paper |
May AI: Design Ideation with Cooperative Contextual Bandits | CHI 2019 | paper code |
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators 利用数据学习布局排版的新方法 |
ICLR 2019 | paper code 笔记 |
Enabling Hyper-Personalisation: Automated Ad Creative Generation and Ranking for Fashion e-Commerce 广告图生成与排序(个性化推荐) |
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 |
How to Generate a Thousand Master Plans: A Framework for Computational Urban Design 计算型城市设计框架 |
simAUD 2019 | paper |
Exemplar based experience transfer 基于范例的海报生成 |
IUI 2019 | paper |
Graphic Narrative with Interactive Stylization Design 绘本叙事(漫画)生成 |
arXiv 2017 | paper 笔记 |
Automatic Generation of Visual-Textual Presentation Layout 图文排版的自动生成算法 |
TOMM 2017 | paper 笔记 介绍 |
Automatic Content-Aware Color and Tone Stylization 基于图像内容的色彩调整 |
CVPR 2016 | paper code |
Automating Layouts Bring Flipboard’s Magazine Style To Web And Windows | TechCrunch 2014 | paper |
Automatic Design of Colors for Magazine Covers 杂志封面的自动配色 |
Imaging and Printing in a Web 2.0 World IV 2013 | paper |
Color design support system considering color harmony 考虑色彩和谐的色彩设计支持系统 |
IEEE 2002 | paper |
Img | Name | Authors | Year | Links |
---|---|---|---|---|
The Nature of Technology: What it is and how it evolves 技术的本质 |
W. Brian Arthur | 2011 | amazon | |
AI and UX Why Artificial Intelligence Needs User Experience 为什么人工智能需要用户体验设计? |
Gavin Lew; Robert M. Schumacher Jr. | 2020 | amazon 笔记 |
|
Smart Cities and Artificial Intelligence: Convergent Systems for Planning, Design, and Operations 智能城市和人工智能:规划、设计和运营的操作系统 |
Christopher Grant Kirwan, Zhiyong Fu | 2020 | amazon 笔记 |
|
Machine learning for Designers 给设计师的机器学习书 |
Patrick Hebron | 2016 | - |
Name | About | Links |
---|---|---|
color-thief | Grab the color palette from an image 从图片提取色彩 |
github |
smartcrop.js | Content aware image cropping 基于内容的图片智能裁切 |
github |
tfjs-models | Pretrained models 预训练模型 |
github |
p5.js | P5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web | github |
- arxiv
- deepai
- paperswithcode
- Algorithm-Driven Design
- Generativeartistry
- The Nature of Code
- The Coding Train
- Timrodenbroker
- ml4a
- Product Hunt – The best new products in tech
Images
-
DALL·E Create images from text
-
Designs.ai Create logos
-
This Person Does Not Exist Generate faces
Voice
Video
-
Rosebud AI Create virtual characters
-
Alethea AI-generated avatars
-
Synthesia Create videos without actors
-
Reface Create face swap videos
Text
-
GPT-3 An advanced language model
-
IdeasAI AI-generated startup ideas
-
Shortly Complete your thoughts
-
Frase.io Create content briefs and answer questions
- Color libraries for Material You 谷歌的智能UI所使用的颜色配色方案
Reach out to me at one of the following places!
- email at
[email protected]
- weixin :
litnmnm