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genlit_dataset

Tasks:
Image-to-Image
Image-to-Video
Modalities:
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relighting
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3d
lighting
video-generation
diffusion
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metadata 
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.

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

Alternative Download

For bulk downloads, you can use our download script: https://genlit.is.tue.mpg.de/download.php

Citation 

@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

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 or open an issue on the GitHub repository.