| --- |
| license: other |
| license_name: mpi-non-commercial-research |
| license_link: https://genlit.is.tue.mpg.de/license.html |
| task_categories: |
| - image-to-image |
| - image-to-video |
| tags: |
| - relighting |
| - synthetic |
| - 3d |
| - lighting |
| - video-generation |
| - diffusion |
| pretty_name: GenLit Dataset |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # GenLit Dataset |
|
|
| This is the official synthetic dataset for **GenLit: Reformulating Single-Image Relighting as Video Generation**, published at SIGGRAPH Asia 2025. |
|
|
| - **Paper:** [ACM Digital Library](https://dl.acm.org/doi/10.1145/3757377.3763970) | [arXiv](https://arxiv.org/abs/2412.11224) |
| - **Project Page:** [genlit.is.tue.mpg.de](https://genlit.is.tue.mpg.de/) |
| - **Code:** [GitHub](https://github.com/sbharadwajj/genlit) |
|
|
| ## Dataset Description |
|
|
| GenLit reformulates single-image relighting as a video generation task, where the scene remains static while a point light moves through 3D space. This dataset contains synthetic image sequences rendered with Blender, showing objects under varying lighting conditions controlled by a moving point light source. |
|
|
| Each sample consists of **14 frames** depicting the same 3D scene with different point light positions, along with comprehensive metadata to reproduce the scene. |
|
|
| ### Dataset Statistics |
|
|
| | Split | Size | |
| |-------|------| |
| | `train` | ~342 GB | |
| | `test` | ~31 GB | |
|
|
| ## Dataset Structure |
|
|
| Each sample contains: |
|
|
| | Field | Type | Description | |
| |-------|------|-------------| |
| | `images` | `Sequence[Image]` | 14 rendered frames showing lighting variation | |
| | `frame_idxs` | `Sequence[string]` | Frame identifiers | |
| | `object_id` | `string` | Unique identifier for the 3D object | |
| | `rotation` | `string` | Object rotation variant | |
| | `seq_id` | `string` | Sequence identifier | |
| | `metadata` | `dict` | Scene configuration (see below) | |
|
|
| ### Metadata Fields |
|
|
| | Field | Type | Description | |
| |-------|------|-----------------------------------------------------------------------| |
| | `objects` | `list` | List of objects with id, dataset source, translation, rotation, scale | |
| | `scene_id` | `string` | Trajectory identifier | |
| | `point_light_trajectory` | `Array2D[14, 3]` | 3D positions of the point light for each frame | |
| | `point_light_intensity` | `Sequence[float]` | Point light intensity per frame | |
| | `env_light_intensity` | `Sequence[float]` | Environment/ambient light intensity per frame | |
| | `floor_texture` | `dict` | Floor texture name and rotation | |
| | `hdri` | `dict` | HDRI environment map name and rotation | |
| | `camera_matrix` | `Array2D[3, 4]` | Camera projection matrix | |
| | `image_ids` | `Sequence[string]` | Image identifiers | |
|
|
| <!-- ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the test split |
| dataset = load_dataset("gbmpi/genlit_dataset", split="test") |
| |
| # Access a sample |
| sample = dataset[0] |
| images = sample["images"] # List of 14 PIL Images |
| light_positions = sample["metadata"]["point_light_trajectory"] # [14, 3] array |
| ``` --> |
|
|
| ## Alternative Download |
|
|
| For bulk downloads, you can use our download script: https://genlit.is.tue.mpg.de/download.php |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{bharadwaj2025genlit, |
| title={GenLit: Reformulating Single-Image Relighting as Video Generation}, |
| author={Bharadwaj, Shrisha and Feng, Haiwen and Becherini, Giorgio and Abrevaya, Victoria Fernandez and Black, Michael J.}, |
| booktitle={SIGGRAPH Asia 2025 Conference Papers}, |
| year={2025}, |
| publisher={ACM}, |
| doi={10.1145/3757377.3763970} |
| } |
| ``` |
|
|
| ## License |
|
|
| This dataset is released under the **Max Planck Institute for Intelligent Systems Non-Commercial Research License**. |
|
|
| **Before using this data, you must read and accept the license conditions at:** |
| [https://genlit.is.tue.mpg.de/license.html](https://genlit.is.tue.mpg.de/license.html) |
|
|
| ### Key Terms |
|
|
| - **Permitted:** Non-commercial scientific research, education, and artistic projects |
| - **Prohibited:** Commercial use, pornographic/military/surveillance applications, redistribution |
| - **Attribution:** You must cite the SIGGRAPH Asia 2025 paper in any publications |
|
|
| For commercial licensing inquiries, contact: ps-license@tue.mpg.de |
|
|
| ## Contact |
|
|
| For questions about the dataset, please visit the [project page](https://genlit.is.tue.mpg.de/) or open an issue on the [GitHub repository](https://github.com/sbharadwajj/genlit). |
|
|
