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This paper presents a recent project on automatic generation of Kandinsky style of abstract paintings using the programming language Processing. It first offers an analysis of Kandinsky's paintings based on his art theories and the author's own understanding and observation. The generation process is described in details and sample generated images styled on four of Kandinsky's paintings are also demonstrated and discussed. Our approach is highly scalable, limited only by the memory space set in Processing. Using random generation, every styled image generated can be unique. A selection of the images generated in the required resolution is also submitted and 70 images are made into a video companion.
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Stored only when both papers are in the corpus — 7 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.