DIFF: A dataset for indoor flexible furniture
Recently, indoor scene synthesis has gathered significant attention, leading to the development of numerous indoor datasets. However, existing datasets only address static furniture and scenes, ignoring the need for dynamic interior design scenarios that emphasize flexible functionalities. Addressin...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Graphical Models |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1524070325000402 |
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| _version_ | 1849233591291084800 |
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| author | Jia-Hong Liu Shao-Kui Zhang Shuran Sun Zihao Wang Song-Hai Zhang |
| author_facet | Jia-Hong Liu Shao-Kui Zhang Shuran Sun Zihao Wang Song-Hai Zhang |
| author_sort | Jia-Hong Liu |
| collection | DOAJ |
| description | Recently, indoor scene synthesis has gathered significant attention, leading to the development of numerous indoor datasets. However, existing datasets only address static furniture and scenes, ignoring the need for dynamic interior design scenarios that emphasize flexible functionalities. Addressing this gap, we present DIFF (Dataset for Indoor Flexible Furniture), featuring expertly crafted and labeled furniture modules capable of inter-transforming between different states, e.g., a cabinet can be inter-transformed to a desk. Each module exhibits flexibility in shifting to multiple shapes and functionalities. Additionally, we propose a method that adapts our dataset to generate flexible layouts. By matching our flexible objects to objects from existing datasets, we use a graph-based approach to migrate the spatial relation priors for optimizing a layout; subsequent layouts are then generated by minimizing a transition-cost function. Analyses and user studies validate the quality of our modules and demonstrate the plausibility of the proposed method. |
| format | Article |
| id | doaj-art-1458c697b42d48c1a596fa64c209d674 |
| institution | Kabale University |
| issn | 1524-0703 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Graphical Models |
| spelling | doaj-art-1458c697b42d48c1a596fa64c209d6742025-08-20T05:04:55ZengElsevierGraphical Models1524-07032025-09-0114110129310.1016/j.gmod.2025.101293DIFF: A dataset for indoor flexible furnitureJia-Hong Liu0Shao-Kui Zhang1Shuran Sun2Zihao Wang3Song-Hai Zhang4Tsinghua University, ChinaBeijing Normal University, ChinaTsinghua University, ChinaTsinghua University, ChinaTsinghua University, China; Corresponding author.Recently, indoor scene synthesis has gathered significant attention, leading to the development of numerous indoor datasets. However, existing datasets only address static furniture and scenes, ignoring the need for dynamic interior design scenarios that emphasize flexible functionalities. Addressing this gap, we present DIFF (Dataset for Indoor Flexible Furniture), featuring expertly crafted and labeled furniture modules capable of inter-transforming between different states, e.g., a cabinet can be inter-transformed to a desk. Each module exhibits flexibility in shifting to multiple shapes and functionalities. Additionally, we propose a method that adapts our dataset to generate flexible layouts. By matching our flexible objects to objects from existing datasets, we use a graph-based approach to migrate the spatial relation priors for optimizing a layout; subsequent layouts are then generated by minimizing a transition-cost function. Analyses and user studies validate the quality of our modules and demonstrate the plausibility of the proposed method.http://www.sciencedirect.com/science/article/pii/S1524070325000402Flexible furnitureScene synthesisFurniture datasetPrior migration |
| spellingShingle | Jia-Hong Liu Shao-Kui Zhang Shuran Sun Zihao Wang Song-Hai Zhang DIFF: A dataset for indoor flexible furniture Graphical Models Flexible furniture Scene synthesis Furniture dataset Prior migration |
| title | DIFF: A dataset for indoor flexible furniture |
| title_full | DIFF: A dataset for indoor flexible furniture |
| title_fullStr | DIFF: A dataset for indoor flexible furniture |
| title_full_unstemmed | DIFF: A dataset for indoor flexible furniture |
| title_short | DIFF: A dataset for indoor flexible furniture |
| title_sort | diff a dataset for indoor flexible furniture |
| topic | Flexible furniture Scene synthesis Furniture dataset Prior migration |
| url | http://www.sciencedirect.com/science/article/pii/S1524070325000402 |
| work_keys_str_mv | AT jiahongliu diffadatasetforindoorflexiblefurniture AT shaokuizhang diffadatasetforindoorflexiblefurniture AT shuransun diffadatasetforindoorflexiblefurniture AT zihaowang diffadatasetforindoorflexiblefurniture AT songhaizhang diffadatasetforindoorflexiblefurniture |