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arXiv Computer Vision By Shiwen Wang, Jian Yang, Xu Wang, Xincan Wang, Weiming Dong

Form and Void: Entangled Composition through an Autonomous AI Agent

Read the original on arXiv Computer Vision →

The paper introduces FaV-A, a multimodal agent that generates positive and negative space compositions in a staged manner. It first creates a base object, analyzes its shape to identify negative‑space semantics, and then produces compositional instructions for the final image. Experiments show that this approach yields more visually coherent and semantically aligned compositions than direct zero‑shot multimodal large language model baselines.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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