---
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).