Abstract4D: A Large-Scale Dataset and Framework for Understanding the Visual Language of Abstract Art
Paper recorded by Signals 4 on 2026-08-28 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31
Category: cs.CV · 计算机视觉 · first seen 2026-08-31
Abstract
Artificial intelligence can classify artistic styles and synthesize images, but it still lacks a model of the visual language that gives art meaning. Abstract painting minimizes object semantics and foregrounds structural cues, making it an ideal testbed for computational perception. We introduce \textbf{Abstract4D}, the largest dataset of abstract paintings to date: more than 120,000 images paire
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Cite this page: Abstract4D: A Large-Scale Dataset and Framework for Understanding the Visual Language of Abstract Art: the #235 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/abstract4d-a-large-scale-dataset-and-framework-for-understanding-the-visual-lang.html
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