Datasets:
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README.md
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This dataset contains multi-view One-Light-at-a-Time (OLAT) images captured for multi-view 3D reconstruction and inverse rendering tasks.
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It is first introduced and used for qualitative evaluation in our ICCV 2025 paper.
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## Dataset Structure
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The dataset contains 6 scenes. Each scene directory is organized as follows:
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- 📱**images_overview.jpeg**
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Provides a visual overview of all images in a scene.
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Each sub-image is cropped from the
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- 🧱 **mesh_RC.obj**
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A reference 3D mesh reconstructed from all JPEG images using [RealityCapture](https://www.realityscan.com/en-US).
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- `20250205_ceramic_buddha`
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The first scene captured using the camera-light setup shown in main paper's Fig. 10, and is used in paper's teaser image.
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143 out of 144 images were successfully calibrated using RealityCapture; thus, only 143 images were used in our method.
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- `20250303 ~ 20250304`
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Captured right before ICCV submission deadline for additional qualitative results. Each scene contains 144 successfully calibrated images.
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- `20250515_ceramic_buddha`
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Captured during the rebuttal phase to demonstrate that a completely dark room is not strictly required for our method.
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All images were taken with a 1/200-second exposure under ambient lighting, in contrast to previous scenes captured at 1/8-second exposure in darkness.
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Because the strobe flashlight emits a short burst of high-intensity light,
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reducing the exposure time from 1/8 sec to 1/200 sec does not affect the flashlight’s contribution to image appearance.
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However, it substantially attenuates the influence of ambient light, making it negligible.
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This dataset contains multi-view One-Light-at-a-Time (OLAT) images captured for multi-view 3D reconstruction and inverse rendering tasks.
|
| 17 |
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| 18 |
+
It is first introduced and used for qualitative evaluation in our [ICCV 2025 paper](https://www.arxiv.org/abs/2507.23162).
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## Dataset Structure
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The dataset contains 6 scenes. Each scene directory is organized as follows:
|
|
|
|
| 52 |
|
| 53 |
- 📱**images_overview.jpeg**
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| 54 |
Provides a visual overview of all images in a scene.
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| 55 |
+
Each sub-image is cropped from the JPEG image and gamma-corrected for improved visibility.
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| 56 |
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| 57 |
- 🧱 **mesh_RC.obj**
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A reference 3D mesh reconstructed from all JPEG images using [RealityCapture](https://www.realityscan.com/en-US).
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| 65 |
- `20250205_ceramic_buddha`
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| 66 |
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| 67 |
+
The first scene captured using the camera-light setup shown in the main paper's Fig. 10, and is used in the paper's teaser image.
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| 68 |
143 out of 144 images were successfully calibrated using RealityCapture; thus, only 143 images were used in our method.
|
| 69 |
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| 70 |
- `20250303 ~ 20250304`
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| 71 |
|
| 72 |
+
Captured right before the ICCV submission deadline for additional qualitative results. Each scene contains 144 successfully calibrated images.
|
| 73 |
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| 74 |
- `20250515_ceramic_buddha`
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| 75 |
|
| 76 |
Captured during the rebuttal phase to demonstrate that a completely dark room is not strictly required for our method.
|
| 77 |
+
All images were taken with a 1/200-second exposure under ambient lighting, in contrast to previous scenes captured at a 1/8-second exposure in darkness.
|
| 78 |
Because the strobe flashlight emits a short burst of high-intensity light,
|
| 79 |
reducing the exposure time from 1/8 sec to 1/200 sec does not affect the flashlight’s contribution to image appearance.
|
| 80 |
However, it substantially attenuates the influence of ambient light, making it negligible.
|