license: cc-by-4.0
task_categories:
- image-to-image
tags:
- relighting
- HDR
- environment-map
- outdoor
- real-world
pretty_name: WildRelight
WildRelight Dataset
A real-world relighting dataset of 30 outdoor/semi-indoor scenes captured across multiple time steps throughout the day. Each scene provides paired HDR photographs and HDR environment maps, enabling evaluation of outdoor relighting tasks.
Key Statistics
| Property | Value |
|---|---|
| Scenes | 30 |
| Time steps per scene | 6–8 (spaced ~1 hour apart) |
| Total HDR photo/envmap pairs | 196 |
| Photo resolution (full) | 6048 × 4024 px |
| Envmap resolution (full) | 7680 × 3840 px (equirectangular) |
| Photo resolution (small) | 1200 × ~798 px |
| Envmap resolution (small) | 1200 × 600 px |
| File format | OpenEXR |
| HDR normalization | Radiance at reference shutter speed (1/500 – 1/10 s, per scene) |
Equipment
- Main camera: Sony α7 series — RAW
- 360° camera: Insta360 Pro2 — 6-lens equidistant fisheye, stitched to equirectangular
Dataset Variants
Two resolution variants are provided under ori/ and small/. Within each variant, every scene contains four folders:
{variant}/{scene}/
├── photo/ # HDR photograph (unaligned)
├── photo_aligned/ # HDR photograph (temporally aligned, recommended)
├── envmap/ # HDR environment map (unaligned)
└── envmap_aligned/ # HDR environment map (temporally aligned, recommended)
Both photo_aligned/ and envmap_aligned/ are temporally aligned to the first time step — each image is warped so that the static background is registered across time. Use these for relighting experiments.
File Naming
photo/ time{N}_hdr.exr (N = 0, 1, 2, …)
envmap/ time{N}_envmap.exr
Metadata
Each scene contains a meta.json with:
| Field | Description |
|---|---|
scene |
Scene name |
ref_shutter |
Reference shutter speed (seconds) used for HDR normalization |
ref_shutter_fraction |
Human-readable, e.g. "1/500" |
hdr_method |
HDR merge algorithm (triangular_weight_debevec1997) |
alignment_method |
life_optical_flow or cv2_sift_homography |
gps |
{latitude, longitude, altitude_m} — available for 10 scenes |
photos[].shooting_time |
Capture timestamp from EXIF |
photos[].iso |
ISO speed |
photos[].shutter_speed |
Representative shutter speed (human-readable) |
envmaps[].shooting_time |
Capture timestamp |
envmaps[].shutter_speed |
Envmap shutter speed |
Scene List
GPS coordinates are provided as additional information. Since collecting GPS coordinates was not part of the original plan, only 10 scenes contain GPS coordinates.
| Scene | Time steps | Alignment | GPS |
|---|---|---|---|
| bench2 | 6 | LIFE flow | — |
| bench3 | 6 | LIFE flow | — |
| bike | 6 | LIFE flow | yes |
| bikes2 | 6 | LIFE flow | — |
| bridge | 6 | LIFE flow | — |
| building304 | 6 | LIFE flow | — |
| building324 | 7 | LIFE flow | — |
| byway | 6 | LIFE flow | yes |
| cabin | 6 | CV2/SIFT | — |
| corridor | 6 | LIFE flow | yes |
| foodtruck | 6 | LIFE flow | yes |
| garden | 6 | LIFE flow | — |
| grassland | 7 | LIFE flow | yes |
| grassland2 | 6 | LIFE flow | yes |
| indoor | 6 | CV2/SIFT | — |
| lake | 6 | LIFE flow | — |
| meadow | 6 | LIFE flow | — |
| parking | 7 | LIFE flow | — |
| pillar | 6 | LIFE flow | — |
| playground | 7 | LIFE flow | — |
| rail | 7 | LIFE flow | — |
| road | 7 | LIFE flow | — |
| sand | 6 | CV2/SIFT | — |
| seaside | 8 | CV2/SIFT | — |
| stairs | 6 | LIFE flow | yes |
| statue | 6 | LIFE flow | yes |
| statue2 | 6 | LIFE flow | yes |
| table_tennis | 6 | LIFE flow | yes |
| wall | 6 | LIFE flow | — |
| yatai | 7 | LIFE flow | — |
Temporal Alignment
Photos are aligned to time0 of each scene. Two methods are used depending on scene content:
- LIFE optical flow (26 scenes): dense flow-based warping, handles gradual lighting changes and small camera motion
- CV2/SIFT homography (4 scenes:
cabin,indoor,sand,seaside): feature-based homography, used when flow alignment fails due to detailed textures.
Alignment is computed independently for ori and small resolutions. Environment maps are aligned using phase-correlation-based rotation estimation.
License
This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.