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LayoutFlow: Flow Matching for Layout Generation
March 28, 2024, 4:45 a.m. | Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama
cs.CV updates on arXiv.org arxiv.org
Abstract: Finding a suitable layout represents a crucial task for diverse applications in graphic design. Motivated by simpler and smoother sampling trajectories, we explore the use of Flow Matching as an alternative to current diffusion-based layout generation models. Specifically, we propose LayoutFlow, an efficient flow-based model capable of generating high-quality layouts. Instead of progressively denoising the elements of a noisy layout, our method learns to gradually move, or flow, the elements of an initial sample until …
abstract applications arxiv cs.cv current design diffusion diverse diverse applications explore flow graphic quality sampling type
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