Learning Proper Object Spacing with Polygon Rendering for Layout Rearrangement
| dc.contributor.author | Sun, Kaifan | en_US |
| dc.contributor.author | Xiao, Jun | en_US |
| dc.contributor.author | Jiang, Haiyong | en_US |
| dc.contributor.editor | Günther, Tobias | en_US |
| dc.contributor.editor | Montazeri, Zahra | en_US |
| dc.date.accessioned | 2025-05-09T09:31:11Z | |
| dc.date.available | 2025-05-09T09:31:11Z | |
| dc.date.issued | 2025 | |
| dc.description.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. | en_US |
| dc.description.sectionheaders | Posters | |
| dc.description.seriesinformation | Eurographics 2025 - Posters | |
| dc.identifier.doi | 10.2312/egp.20251018 | |
| dc.identifier.isbn | 978-3-03868-269-1 | |
| dc.identifier.issn | 1017-4656 | |
| dc.identifier.pages | 2 pages | |
| dc.identifier.uri | https://doi.org/10.2312/egp.20251018 | |
| dc.identifier.uri | https://diglib.eg.org/handle/10.2312/egp20251018 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Computing methodologies → Scene generation; Spatial relationship modeling; Differentiable rendering | |
| dc.subject | Computing methodologies → Scene generation | |
| dc.subject | Spatial relationship modeling | |
| dc.subject | Differentiable rendering | |
| dc.title | Learning Proper Object Spacing with Polygon Rendering for Layout Rearrangement | en_US |