Update README

README.md

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----
-license: unknown
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-
-# SceneMaker Dataset
-
-## 数据集描述
-
-SceneMaker 是一个基于 Objaverse 的 3D 场景渲染数据集。该数据集为每个场景提供了多视角的渲染图像，包括 RGB、深度图和分割图。
-
-## 数据集结构
-
-### 场景组成
-
-每个场景（由 UUID 标识）包含以下元素：
-
-- **主体物体**：来自 Objaverse 的原始物体
-- **额外物体**：四个随机选择的物体，以任意位置摆放
-- **环境元素**：
-  - 地板（ground plane）
-  - 环境贴图（environment map）
-
-### 视角与渲染
-
-- **视角数量**：每个场景包含 20 个不同的视角
-- **渲染类型**：每个视角提供三种类型的图像：
-  - **RGB**：彩色渲染图像
-  - **Depth**：深度图
-  - **Seg**：分割图（语义分割或实例分割）
-
-## 数据来源
-
-本数据集基于 [Objaverse](https://objaverse.allenai.org/) 数据集构建。
-
-## 使用说明
-
-数据集中的每个场景以 UUID 命名，包含多视角渲染结果。每个视角的图像文件命名格式为：
-- `{view_id}_rgb.png` - RGB 图像
-- `{view_id}_depth.png` - 深度图
-- `{view_id}_seg.png` - 分割图
-
-其中 `view_id` 为视角编号（0-19）。
-
-## 引用
-
-如果您使用了本数据集，请引用 Objaverse：
-
-```bibtex
-@article{objaverse2023,
-  title={Objaverse: A Universe of Annotated 3D Objects},
-  author={Deitke, Matt and Schwenk, Dustin and Salvador, Jordi and Weihs, Luca and Michel, Oscar and VanderBilt, Eli and Schmidt, Ludwig and Ehsani, Kiana and Farhadi, Ali and Kembhavi, Aniruddha and others},
-  journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
-  year={2023}
-}
-```
+<div align="center">
+<img src="assets/SceneMaker_logo.png" width="500" alt="SceneMaker Logo"/>
+</div>
+
+<br>
+
+# SceneMaker Dataset
+
+**Yukai Shi<sup>1,3</sup>**, **Weiyu Li<sup>2,4</sup>**, **Zihao Wang<sup>4</sup>**, **Hongyang Li<sup>3</sup>**, **Xingyu Chen<sup>3</sup>**, **Ping Tan<sup>2,4</sup>**, **Lei Zhang<sup>3</sup>**
+
+<sup>1</sup> Tsinghua University &nbsp;&nbsp;
+<sup>2</sup> HKUST &nbsp;&nbsp;
+<sup>3</sup> IDEA Research &nbsp;&nbsp;
+<sup>4</sup> LightIllusions
+
+<div align="center">
+
+
+[![Paper](https://img.shields.io/badge/ArXiv-Paper-brown)](https://arxiv.org/abs/2512.10957)
+[![Project Page](https://img.shields.io/badge/🌐-Project%20Page-blue)](https://idea-research.github.io/SceneMaker/)
+[![Datasets](https://img.shields.io/badge/🤗-Datasets-yellow.svg)](https://huggingface.co/datasets/LightillusionsLab/SceneMaker)
+[![Code](https://img.shields.io/badge/GitHub-Code-black.svg)](https://github.com/IDEA-Research/SceneMaker)
+
+</div>
+
+SceneMaker dataset is a 3D scene dataset for open-world scenarios from paper [SceneMaker](https://arxiv.org/abs/2512.10957). This dataset is based on the [Objaverse](https://objaverse.allenai.org/) dataset, where 3D objects are randomly selected and placed in a physically plausible manner to construct 3D scenes. Each scene contains multi-view camera intrinsics and extrinsics, along with rendered images including RGB, depth maps, and segmentation maps.
+
+<!-- caption -->
+## 📖 Dataset Description
+
+Each scene (identified by UUID) contains the following elements:
+- **Main Objects**: 2-5 original objects from Objaverse, represented by 20,480 point clouds extracted from meshes with corresponding normal directions
+- **Environment Elements**:
+  - Ground plane
+  - Environment map
+- **Number of Views**: Each scene contains 20 different viewpoints
+- **Rendering Types**: Each viewpoint provides three types of images:
+  - **RGB**: Color-rendered scene images
+  - **Depth**: Scene depth maps
+  - **Seg**: Segmentation maps for each object
+
+
+<div align="center">
+<img src="assets/dataset_samples.png" width="800" alt="Dataset Samples"/>
+</div>
+
+*Sample scenes from the SceneMaker dataset showing RGB images, depth maps, and segmentation masks*
+
+
+<!-- structure -->
+## 📁 Dataset Structure
+
+After extraction, the dataset has the following structure:
+
+```
+dataset/
+├── 000-001.tar.gz to 000-159.tar.gz    # Split archives containing scene render results
+├── geometry/                            # Folder containing object geometry data
+│   └── geometry.tar.part_*             # Split archives of 3D object meshes/point clouds
+│
+└── [After extraction]
+    ├── 000-000/                        # Folder for archive 000-000
+    │   ├── {scene_uuid_1}.json         # Scene configuration (object count, IDs, poses, scene size)
+    │   ├── {scene_uuid_2}.json         # Scene configuration for another scene
+    │   ├── ...
+    │   ├── {scene_uuid_1}/             # Scene folder (identified by UUID)
+    │   │   ├── 0_rgb.png               # RGB render from view 0
+    │   │   ├── 0_depth.png             # Depth map from view 0
+    │   │   ├── 0_seg.png               # Segmentation map from view 0
+    │   │   ├── 1_rgb.png               # RGB render from view 1
+    │   │   ├── 1_depth.png             # Depth map from view 1
+    │   │   ├── 1_seg.png               # Segmentation map from view 1
+    │   │   ├── ...                     # Views 2-18
+    │   │   ├── 19_rgb.png              # RGB render from view 19
+    │   │   ├── 19_depth.png            # Depth map from view 19
+    │   │   ├── 19_seg.png              # Segmentation map from view 19
+    │   │   └── metadata.json           # Rendering information for each view (camera intrinsics/extrinsics)
+    │   │
+    │   ├── {scene_uuid_2}/             # Another scene in 000-000
+    │   │   └── ...
+    │   └── ...
+    │
+    ├── 000-001/                        # Similar structure as 000-000
+    ├── ...                             # Folders 000-002 to 000-158
+    ├── 000-159/                        # Similar structure as 000-000
+    │
+    └── geometry/                        # Extracted object geometries
+        ├── geometry.json               # Index of all object UUIDs and their file paths
+        └── sample/                      # Object point clouds with normals in npz format
+            ├── 000-000/                 # Objects from scenes in 000-000
+            │   ├── {object_uuid_1}.npz  # Point cloud and normals for object 1
+            │   ├── {object_uuid_2}.npz  # Point cloud and normals for object 2
+            │   └── ...
+            ├── 000-001/                 # Similar structure
+            ├── ...                      # Folders 000-002 to 000-158
+            └── 000-159/                 # Similar structure
+```
+
+### 📋 File Descriptions
+
+- 📝 **Scene Configuration Files** (`{scene_uuid}.json`): JSON files in each numbered folder containing:
+  - Object count: Number of objects in the scene
+  - Object IDs: List of object UUID identifiers
+  - Object poses: Translation, rotation, and scale for each object
+  - Scene size: Bounding box dimensions of the scene
+- 📂 **Scene Folders** (`{scene_uuid}/`): Each folder represents one scene with a unique UUID identifier
+- 🖼️ **RGB Images** (`*_rgb.png`): Color-rendered images of the scene from different viewpoints (512×512)
+- 📏 **Depth Maps** (`*_depth.png`): Depth information for each pixel with range 0-20, stored as 16-bit PNG
+- 🎨 **Segmentation Maps** (`*_seg.png`): Instance segmentation masks where each object is represented by an integer starting from 0, following the order of objects in the corresponding `{scene_uuid}.json` file
+- 📊 **Metadata** (`metadata.json`): Rendering information for each view, including camera intrinsics and extrinsics for all 20 views
+- 🗂️ **Geometry Index** (`geometry/geometry.json`): Index file mapping all object UUIDs to their corresponding file paths
+- ☁️ **Object Point Clouds** (`geometry/sample/*/*.npz`): NPZ files containing object point clouds (20,480 points × 6 dimensions), where the first 3 dimensions are XYZ coordinates and the last 3 dimensions are normal vectors, organized by archive number
+
+### Scene Examples
+
+<div align="center">
+<img src="assets/scene_example_1.png" width="400" alt="Scene Example 1"/>
+<img src="assets/scene_example_2.png" width="400" alt="Scene Example 2"/>
+</div>
+
+*Examples of generated 3D scenes with multiple objects from Objaverse*
+
+<div align="center">
+<img src="assets/pointcloud_example.png" width="500" alt="Point Cloud Visualization"/>
+</div>
+
+*Visualization of object point clouds with normal vectors (20,480 points per object)*
+
+
+<!-- usage -->
+## 🚀 Usage Instructions
+### Extract the render results of scenes
+
+```bash
+tar -xzvf 000-*.tar.gz
+```
+
+### Extract the object geometry in the scenes
+```bash
+cd geometry
+cat geometry.tar.part_* | tar -xv
+```
+
+Or merge them first, then extract:
+
+```bash
+cd geometry
+cat geometry.tar.part_* > geometry.tar
+tar -xvf geometry.tar
+rm geometry.tar  # Optional: remove the merged file after extraction
+```
+
+
+
+
+### File Naming Convention
+
+Each scene in the dataset is named by UUID and contains multi-view rendering results. Both scenes and objects are uniquely identified by their UUID values. When using this dataset, please update the file paths to match your dataset root directory.
+
+## 📚 Citation
+
+If you use this dataset, please cite the SceneMaker and Objaverse datasets:
+
+```bibtex
+@article{shi2025scenemaker,
+  title={SceneMaker: Open-set 3D Scene Generation with Decoupled De-occlusion and Pose Estimation Model},
+  author={Shi, Yukai and Li, Weiyu and Wang, Zihao and Li, Hongyang and Chen, Xingyu and Tan, Ping and Zhang, Lei},
+  journal={arXiv preprint arXiv:2512.10957},
+  year={2025}
+}
+
+@article{objaverse2023,
+  title={Objaverse: A Universe of Annotated 3D Objects},
+  author={Deitke, Matt and Schwenk, Dustin and Salvador, Jordi and Weihs, Luca and Michel, Oscar and VanderBilt, Eli and Schmidt, Ludwig and Ehsani, Kiana and Farhadi, Ali and Kembhavi, Aniruddha and others},
+  journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
+  year={2023}
+}
+```