Learning Proper Object Spacing with Polygon Rendering for Layout Rearrangement
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Date
2025
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Successful scene arrangement requires ensuring appropriate distances between objects and avoiding excessive overlaps or separations. This work proposes a method for automatically learning spatial relationships between objects in scene arrangement using a differentiable renderer loss. First, objects surrounding a dominant item (e.g., a table in a dining room) are identified and represented as nodes in a polygon that encodes their spatial relations. The difference between the predicted and ground truth polygons is minimized via a rendering loss, which is integrated into the training of a generative diffusion model. This approach continuously optimizes the spatial distribution of objects during generation, ensuring physical consistency and practical usability. Experimental results show a significant reduction in collision rates compared to state-of-the-art methods.
Description
CCS Concepts: Computing methodologies → Scene generation; Spatial relationship modeling; Differentiable rendering
@inproceedings{10.2312:egp.20251018,
booktitle = {Eurographics 2025 - Posters},
editor = {Günther, Tobias and Montazeri, Zahra},
title = {{Learning Proper Object Spacing with Polygon Rendering for Layout Rearrangement}},
author = {Sun, Kaifan and Xiao, Jun and Jiang, Haiyong},
year = {2025},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-269-1},
DOI = {10.2312/egp.20251018}
}