GenLit: Reformulating Single-Image Relighting as Video Generation
Paper • 2412.11224 • Published
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1,
0,
... | |
[
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"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 000074a334c541878360457c672b6c2e | rot_45 | t_050014 | {
"objects": [
{
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"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 45,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_050014",
"point_light_trajectory": [
[
1,
-90,
... | |
[
"000",
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"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 000074a334c541878360457c672b6c2e | rot_45 | t_050015 | {
"objects": [
{
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"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 45,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_050015",
"point_light_trajectory": [
[
1,
90,
... | |
[
"000",
"001",
"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 000074a334c541878360457c672b6c2e | rot_45 | t_050016 | {
"objects": [
{
"id": "000074a334c541878360457c672b6c2e",
"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 45,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_050016",
"point_light_trajectory": [
[
1,
-90,
... | |
[
"000",
"001",
"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 000074a334c541878360457c672b6c2e | rot_45 | t_050017 | {
"objects": [
{
"id": "000074a334c541878360457c672b6c2e",
"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 45,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_050017",
"point_light_trajectory": [
[
1,
90,
... | |
[
"000",
"001",
"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 000074a334c541878360457c672b6c2e | rot_45 | t_050018 | {
"objects": [
{
"id": "000074a334c541878360457c672b6c2e",
"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 45,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_050018",
"point_light_trajectory": [
[
1,
-180,
... | |
[
"000",
"001",
"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 000074a334c541878360457c672b6c2e | rot_45 | t_050019 | {
"objects": [
{
"id": "000074a334c541878360457c672b6c2e",
"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 45,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_050019",
"point_light_trajectory": [
[
1,
-180,
... | |
[
"000",
"001",
"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 0022a3197f9646acbb9041eff2d1f55c | rot_136 | t_000373 | {
"objects": [
{
"id": "0022a3197f9646acbb9041eff2d1f55c",
"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 136,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_000373",
"point_light_trajectory": [
[
1,
140,
... | |
[
"000",
"001",
"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 0022a3197f9646acbb9041eff2d1f55c | rot_136 | t_000374 | {
"objects": [
{
"id": "0022a3197f9646acbb9041eff2d1f55c",
"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 136,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_000374",
"point_light_trajectory": [
[
1,
31,
... | |
[
"000",
"001",
"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 0022a3197f9646acbb9041eff2d1f55c | rot_136 | t_002168 | {
"objects": [
{
"id": "0022a3197f9646acbb9041eff2d1f55c",
"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 136,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_002168",
"point_light_trajectory": [
[
1,
-82,
... | |
[
"000",
"001",
"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 0022a3197f9646acbb9041eff2d1f55c | rot_136 | t_003961 | {
"objects": [
{
"id": "0022a3197f9646acbb9041eff2d1f55c",
"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 136,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_003961",
"point_light_trajectory": [
[
1,
14,
... | |
[
"000",
"001",
"002",
"003",
"004",
"005",
"006",
"007",
"008",
"009",
"010",
"011",
"012",
"013"
] | 0022a3197f9646acbb9041eff2d1f55c | rot_136 | t_005752 | {
"objects": [
{
"id": "0022a3197f9646acbb9041eff2d1f55c",
"dataset": "objaverse",
"trans": [
0,
0,
0
],
"rot": 136,
"scale": 1,
"normalized_scale": true
}
],
"scene_id": "t_005752",
"point_light_trajectory": [
[
1,
37,
... |
End of preview. Expand in Data Studio
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 | arXiv
- Project Page: genlit.is.tue.mpg.de
- Code: GitHub
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.
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