Structured3D is a large-scale photo-realistic dataset containing 3.5K house designs (a) created by professional designers with a variety of ground truth 3D structure annotations (b) and generate photo-realistic 2D images (c).
The dataset consists of rendering images and corresponding ground truth annotations (e.g., semantic, albedo, depth, surface normal, layout) under different lighting and furniture configurations.
Source: https://github.com/bertjiazheng/Structured3D
Image Source: https://github.com/bertjiazheng/Structured3D
Variants: Structured3D, Structured3D (perspective, furnished), Structured3D (perspective, emtpy)
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Semantic Segmentation | SFSS-MMSI (RGB+Depth+Normal) | Single Frame Semantic Segmentation Using … | 2023-08-18 |
| Semantic Segmentation | SFSS-MMSI (RGB+Normal) | Single Frame Semantic Segmentation Using … | 2023-08-18 |
| Semantic Segmentation | SFSS-MMSI (RGB+Depth) | Single Frame Semantic Segmentation Using … | 2023-08-18 |
| Semantic Segmentation | SFSS-MMSI (RGB Only) | Single Frame Semantic Segmentation Using … | 2023-08-18 |
Recent papers with results on this dataset: