Generation of Kandinsky Art
Bibliographic Data
| ID | 3347950 |
|---|---|
| Authors | Kang Zhang (0000-0003-3802-7535, Kang Zhang (educator), Department of Computer Science, University of Texas at Dallas, Richardson, TX 75083-0688, U.S.A.., corresponding author), Jinhui Yu (0009-0001-0883-3889, Zhejiang University, corresponding author) |
| Year | 2016 |
| Volume | 49 |
| Issue | 1 |
| Pages | 48-54 |
| Publication date | 2016-02-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leonardo (JOURNAL) |
| Journal identifiers | ISSN: 0024-094X • E-ISSN: 1530-9282 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/leon_a_00908 |
| OpenAlex | W2001158314 |
| Language | EN |
| Citations received | 3 |
| References cited | 4 |
The authors present a programmed experiment to automatically generate art in the style of Kandinsky during his Bauhaus years. The program the authors developed analyzes the artist's paintings based on his art theories and the authors' own understanding and observations of his artworks. The authors describe the generation process in detail and share and discuss sample generated images styled according to four of Kandinsky's paintings. By pseudorandomizing various parameters, the program is able to make each styled image it generates unique. The authors' approach is highly scalable, limited only by the memory space set in the programming language Processing, which is used for the generation. Potential impacts of the authors' approach are also discussed
Abstract art · Art · Image (mathematics) · Painting · Physics · Process (computing) · Programming language · Sample (material) · Scalability · Set (abstract data type) · Space (punctuation) · Style (visual arts) · Visual arts · 3D Shape Modeling and Analysis · Aesthetic Perception and Analysis · Artificial Intelligence · Computer Graphics and Visualization Techniques · Computer Science
| Unique citing works | 3 |
|---|---|
| Citations per year | 0.6 |
| Citation span | 2021 - 2023 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |