Update README.md

README.md

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----
-license: mit
----
+---
+license: cc-by-nc-sa-4.0
+task_categories:
+  - image-to-3d
+  - depth-estimation
+  - image-to-image
+tags:
+  - 3d-reconstruction
+  - multi-view
+  - nerf
+  - 3d-gaussian-splatting
+  - novel-view-synthesis
+  - benchmark
+  - colmap
+  - point-cloud
+  - depth-map
+  - raw-image
+  - computational-photography
+pretty_name: "RealX3D: A Physically-Degraded 3D Benchmark for Multi-view Visual Restoration and Reconstruction"
+size_categories:
+  - 1K<n<10K
+---
+
+# RealX3D
+
+**RealX3D** is a large-scale, real-world benchmark dataset for multi-view 3D reconstruction under challenging capture conditions. It provides multi-view RGB images (both processed JPEG and Sony RAW), COLMAP sparse reconstructions, and high-precision 3D ground-truth geometry (point clouds, meshes, and rendered depth maps) across a diverse set of scenes and degradation types.
+
+## Key Features
+
+- **9 real-world degradation conditions**: defocus (mild/strong), motion blur (mild/strong), low light, smoke, reflection, dynamic objects, and varying exposure.
+- **Full-resolution (~7000×4700) and quarter-resolution (~1800×1200)** JPEG images with COLMAP reconstructions.
+- **Sony RAW (ARW)** sensor data with complete EXIF metadata for 7 conditions.
+- **Per-frame metric depth maps** rendered from lanser-scanned meshes.
+- **Camera poses and intrinsics** in both COLMAP binary format and NeRF-compatible `transforms.json`.
+
+## Dataset Structure
+
+```
+RealX3D/
+├── data/              # Full-resolution JPEG images + COLMAP reconstructions
+├── data_4/            # Quarter-resolution JPEG images + COLMAP reconstructions
+├── data_arw/          # Sony RAW (ARW) sensor data
+├── pointclouds/       # 3D point clouds, meshes, and depth maps
+└── scripts/           # Data processing utilities
+```
+
+## Capture Conditions
+
+| Condition | Description |
+|-----------|-------------|
+| `defocus_mild` | Mild defocus blur |
+| `defocus_strong` | Strong defocus blur |
+| `motion_mild` | Mild motion blur |
+| `motion_strong` | Strong motion blur |
+| `dynamic` | Dynamic objects in the scene |
+| `reflection` | Specular reflections |
+| `lowlight` | Low-light environment |
+| `smoke` | Smoke / particulate occlusion |
+| `varyexp` | Varying exposure |
+
+## Scenes
+
+Akikaze, BlueHawaii, Chocolate, Cupcake, GearWorks, Hinoki, Koharu, Laboratory, Limon, MilkCookie, Natsume, Popcorn, Sculpture, Shirohana, Ujikintoki
+
+---
+
+## `data/` — Full-Resolution JPEG Images
+
+Full-resolution JPEG images and corresponding COLMAP sparse reconstructions, organized by **condition → scene**.
+
+### Per-Scene Directory Layout
+
+```
+data/{condition}/{scene}/
+├── train/                    # Training images (~23–31 frames)
+│   ├── 0001.JPG
+│   └── ...
+├── val/                      # Validation images (~23–31 frames)
+│   └── ...
+├── test/                     # Test images (~4–6 frames)
+│   └── ...
+├── transforms_train.json     # Camera parameters & poses (training split)
+├── transforms_val.json       # Camera parameters & poses (validation split)
+├── transforms_test.json      # Camera parameters & poses (test split)
+├── point3d.ply               # COLMAP sparse 3D point cloud
+├── colmap2world.txt          # 4×4 COLMAP-to-world coordinate transform
+├── sparse/0/                 # COLMAP sparse reconstruction
+│   ├── cameras.bin / cameras.txt
+│   ├── images.bin / images.txt
+│   └── points3D.bin / points3D.txt
+├── distorted/sparse/0/       # Pre-undistortion COLMAP reconstruction
+└── stereo/                   # MVS configuration files
+```
+
+### `transforms.json` Format
+
+Each `transforms_*.json` file contains shared camera intrinsics and per-frame extrinsics following `Blender Dataset` format, for example:
+
+```json
+{
+  "camera_angle_x": 1.295,
+  "camera_angle_y": 0.899,
+  "fl_x": 4778.31,
+  "fl_y": 4928.04,
+  "cx": 3649.23,
+  "cy": 2343.41,
+  "w": 7229.0,
+  "h": 4754.0,
+  "k1": 0, "k2": 0, "k3": 0, "k4": 0,
+  "p1": 0, "p2": 0,
+  "is_fisheye": false,
+  "aabb_scale": 2,
+  "frames": [
+    {
+      "file_path": "train/0001.JPG",
+      "sharpness": 25.72,
+      "transform_matrix": [[...], [...], [...], [...]]
+    }
+  ]
+}
+```
+
+All distortion coefficients are zero (images are pre-undistorted). 
+
+### Image Specifications
+
+- **Format**: JPEG
+- **Resolution**: ~7000 × 4700 pixels (varies slightly across scenes)
+- **Camera**: Sony ILCE-7M4 (α7 IV)
+- **Camera Model**: PINHOLE (pre-undistorted)
+
+---
+
+## `data_4/` — Quarter-Resolution JPEG Images
+
+Identical directory structure to `data/`, with images downsampled to **1/4 resolution** (~1800 × 1200 pixels). Camera intrinsics (`fl_x`, `fl_y`, `cx`, `cy`, `w`, `h`) in the `transforms.json` files are adjusted accordingly. All 9 capture conditions and their scenes are included.
+
+---
+
+## `data_arw/` — Sony RAW Data
+
+Sony ARW (TIFF-wrapped RAW) sensor data preserving full EXIF metadata.
+
+### Differences from `data/`
+
+- **Image format**: `.ARW` (~33–35 MB per frame)
+- **7 conditions available**: `defocus_mild`, `defocus_strong`, `dynamic`, `lowlight`, `reflection`, `smoke`, `varyexp` (motion blur conditions are **excluded**)
+
+### Per-Scene Directory Layout
+
+```
+data_arw/{condition}/{scene}/
+├── train/              # ARW raw images
+├── val/
+├── test/
+└── sparse/0/           # COLMAP sparse reconstruction
+```
+
+---
+
+## `pointclouds/` — 3D Ground Truth
+
+High-precision 3D geometry ground truth, organized directly by **scene name** (geometry is shared across capture conditions for the same scene).
+
+### Per-Scene Directory Layout
+
+```
+pointclouds/{scene}/
+├── cull_pointcloud.ply   # Culled point cloud (view-frustum trimmed)
+├── cull_mesh.ply         # Culled triangle mesh
+├── colmap2world.npy      # 4×4 COLMAP-to-world transform (NumPy format)
+└── depth/                # 16-bit Depth maps rendered from the mesh
+    ├── 0001.png
+    ├── 0002.png
+    └── ...
+```
+
+The `colmap2world.npy` matrix aligns COLMAP reconstructions to the world coordinate system of the ground-truth geometry. The same transform is also stored as `colmap2world.txt` in the corresponding `data/` directories.
+
+---
+
+## Citation
+
+```bibtex
+@article{liu2025realx3d,
+  title={RealX3D: A Physically-Degraded 3D Benchmark for Multi-view Visual Restoration and Reconstruction},
+  author={Liu, Shuhong and Bao, Chenyu and Cui, Ziteng and Liu, Yun and Chu, Xuangeng and Gu, Lin and Conde, Marcos V and Umagami, Ryo and Hashimoto, Tomohiro and Hu, Zijian and others},
+  journal={arXiv preprint arXiv:2512.23437},
+  year={2025}
+}
+```
+
+---
+
+## License
+
+This dataset is released under the [MIT License](https://opensource.org/licenses/MIT).