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LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation

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arxiv 2407.12356 v1 pith:WWNONVBN submitted 2024-07-17 cs.CV

classification cs.CV
keywords layoutmeasuresimilaritygenerationmatchingbeencollection-levelelement
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We introduce a layout similarity measure designed to evaluate the results of layout generation. While several similarity measures have been proposed in prior research, there has been a lack of comprehensive discussion about their behaviors. Our research uncovers that the majority of these measures are unable to handle various layout differences, primarily due to their dependencies on strict element matching, that is one-by-one matching of elements within the same category. To overcome this limitation, we propose a new similarity measure based on optimal transport, which facilitates a more flexible matching of elements. This approach allows us to quantify the similarity between any two layouts even those sharing no element categories, making our measure highly applicable to a wide range of layout generation tasks. For tasks such as unconditional layout generation, where FID is commonly used, we also extend our measure to deal with collection-level similarities between groups of layouts. The empirical result suggests that our collection-level measure offers more reliable comparisons than existing ones like FID and Max.IoU.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. LayoutRAG: Retrieval-Augmented Model for Content-agnostic Conditional Layout Generation

    cs.CV 2025-06 conditional novelty 6.0 of 10

    Retrieval-augmented generation, where retrieved layout templates guide a flow-matching model, improves conditional layout generation on RICO and PubLayNet.

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