CoPa-SG: Dense Scene Graphs with Parametric and Proto-Relations

• URL: http://arxiv.org/abs/2506.21357v1
• Date: Thu, 26 Jun 2025 15:09:23 GMT
• Title: CoPa-SG: Dense Scene Graphs with Parametric and Proto-Relations
• Authors: Julian Lorenz, Mrunmai Phatak, Robin Schön, Katja Ludwig, Nico Hörmann, Annemarie Friedrich, Rainer Lienhart,
• Abstract summary: We present CoPa-SG, a synthetic scene graph dataset with highly precise ground truth and exhaustive relation annotations between all objects.<n>We also introduce parametric and proto-relations, two new fundamental concepts for scene graphs.<n>We demonstrate how our new relation types can be integrated in downstream applications to enhance planning and reasoning capabilities.
• Score: 11.603320972814778
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 2D scene graphs provide a structural and explainable framework for scene understanding. However, current work still struggles with the lack of accurate scene graph data. To overcome this data bottleneck, we present CoPa-SG, a synthetic scene graph dataset with highly precise ground truth and exhaustive relation annotations between all objects. Moreover, we introduce parametric and proto-relations, two new fundamental concepts for scene graphs. The former provides a much more fine-grained representation than its traditional counterpart by enriching relations with additional parameters such as angles or distances. The latter encodes hypothetical relations in a scene graph and describes how relations would form if new objects are placed in the scene. Using CoPa-SG, we compare the performance of various scene graph generation models. We demonstrate how our new relation types can be integrated in downstream applications to enhance planning and reasoning capabilities.

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