Datasets:

Modalities:
Image
Text
Formats:
text
ArXiv:
Tags:
image
Libraries:
Datasets
License:
XuCao commited on
Commit
0aee3bf
·
verified ·
1 Parent(s): 981661d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -5
README.md CHANGED
@@ -15,7 +15,7 @@ task_categories:
15
 
16
  This dataset contains multi-view One-Light-at-a-Time (OLAT) images captured for multi-view 3D reconstruction and inverse rendering tasks.
17
 
18
- It is first introduced and used for qualitative evaluation in our ICCV 2025 paper.
19
 
20
  ## Dataset Structure
21
  The dataset contains 6 scenes. Each scene directory is organized as follows:
@@ -52,7 +52,7 @@ The dataset contains 6 scenes. Each scene directory is organized as follows:
52
 
53
  - 📱**images_overview.jpeg**
54
  Provides a visual overview of all images in a scene.
55
- Each sub-image is cropped from the jpeg image and gamma-corrected for improved visibility.
56
 
57
  - 🧱 **mesh_RC.obj**
58
  A reference 3D mesh reconstructed from all JPEG images using [RealityCapture](https://www.realityscan.com/en-US).
@@ -64,17 +64,17 @@ The dataset contains 6 scenes. Each scene directory is organized as follows:
64
 
65
  - `20250205_ceramic_buddha`
66
 
67
- The first scene captured using the camera-light setup shown in main paper's Fig. 10, and is used in paper's teaser image.
68
  143 out of 144 images were successfully calibrated using RealityCapture; thus, only 143 images were used in our method.
69
 
70
  - `20250303 ~ 20250304`
71
 
72
- Captured right before ICCV submission deadline for additional qualitative results. Each scene contains 144 successfully calibrated images.
73
 
74
  - `20250515_ceramic_buddha`
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 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.
 
15
 
16
  This dataset contains multi-view One-Light-at-a-Time (OLAT) images captured for multi-view 3D reconstruction and inverse rendering tasks.
17
 
18
+ It is first introduced and used for qualitative evaluation in our [ICCV 2025 paper](https://www.arxiv.org/abs/2507.23162).
19
 
20
  ## Dataset Structure
21
  The dataset contains 6 scenes. Each scene directory is organized as follows:
 
52
 
53
  - 📱**images_overview.jpeg**
54
  Provides a visual overview of all images in a scene.
55
+ Each sub-image is cropped from the JPEG image and gamma-corrected for improved visibility.
56
 
57
  - 🧱 **mesh_RC.obj**
58
  A reference 3D mesh reconstructed from all JPEG images using [RealityCapture](https://www.realityscan.com/en-US).
 
64
 
65
  - `20250205_ceramic_buddha`
66
 
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.
68
  143 out of 144 images were successfully calibrated using RealityCapture; thus, only 143 images were used in our method.
69
 
70
  - `20250303 ~ 20250304`
71
 
72
+ Captured right before the ICCV submission deadline for additional qualitative results. Each scene contains 144 successfully calibrated images.
73
 
74
  - `20250515_ceramic_buddha`
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.