The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
raise ValueError(
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Imaginarium: Vision-guided High-Quality 3D Scene Layout Generation
SIGGRAPH ASIA 2025 & ACM Transactions on Graphics (TOG)
π Introduction
Imaginarium is a novel vision-guided 3D layout generation system that addresses the challenges of generating logically coherent and visually appealing customized scene layouts. We employ an image generation model to expand prompt representations into images, fine-tuning it to align with our high-quality asset library. We then develop a robust image parsing module to recover the 3D layout of scenes based on visual semantics and geometric information, optimizing the scene layout using scene graphs to ensure logical coherence.
π¦ Data Preparation
The 3D scenes and asset dataset are hosted at π€ HiHiAllen/Imaginarium-Dataset, and the derived dataset is hosted at π€ binicey/Imaginarium-3D-Derived-Dataset.
1. 3D Scenes and Asset Dataset Downloads
Choose the appropriate package based on your needs:
Plan A: Full 3D Scene Layout Dataset (Research)
For full access to Blend source files, RGB renders, instance segmentation, bounding boxes, depth maps, and meta-info (captions, scene graphs, object poses), download:
imaginarium_3d_scene_layout_dataset_part1.tar.gzimaginarium_3d_scene_layout_dataset_part2.tar.gzimaginarium_3d_scene_layout_dataset_part3.tar.gzimaginarium_3d_scene_layout_dataset_part4.tar.gz
Structure (e.g., bedroom_01):
bedroom_01/
βββ bedroom_01.png
βββ bedroom_01.blend
βββ bedroom_01_bbox_overlay.png
βββ bedroom_01_depth_vis.png
βββ bedroom_01_depth.npy
βββ bedroom_01_detect_items.pkl
βββ bedroom_01_meta.json
βββ bedroom_01_segmentation.png
Plan B: Flux Fine-tuning Data Only
If you only need data for fine-tuning Flux (RGB images & meta-info), download:
flux_train_data.tar.gz
Plan C: Running Imaginarium (Inference)
To run the algorithm using our provided weights, you need the 3D Asset Library and metadata:
imaginarium_assets.tar.gz(3D Models)imaginarium_assets_internal_placement_space.tar.gz(Internal Placement Spaces Info)imaginarium_asset_info.csv(Metadata)background_texture_dataset.tar.gzοΌBackground Texture DatasetοΌ- (Optional)
imaginarium_asset_info_with_render_images.xlsx(Visual Reference)
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