Feat: Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
+license: cc-by-4.0
 Modalities:
 - Image
 - 3D
@@ -12,69 +12,73 @@ tags:
 - blender
 - vision
 - template
-
 pretty_name: FoldNet
 ---
 # FoldNet Dataset
 
-<p align="center">
+<div style="display: flex; justify-content: center; align-items: center; margin: 0 0;">
+    <img src="https://raw.githubusercontent.com/chen01yx/FoldNet_code/main/asset/fig/teaser.png" alt="Teaser Image" style="max-width: 100%; border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);">
+</div>
+
+<p align="center" style="display: flex; justify-content: center; align-items: center; gap: 15px;">
     <a href="https://pku-epic.github.io/FoldNet/"><img src="https://img.shields.io/badge/-project-yellow?logo=githubpages&logoSize=auto&labelColor=grey" alt="Project Page"></a>
     <a href="https://ieeexplore.ieee.org/document/11359673"><img src="https://img.shields.io/badge/-paper-green?logo=ieee&logoSize=auto&labelColor=grey" alt="Paper"></a>
     <a href="https://github.com/chen01yx/FoldNet_code"><img src="https://img.shields.io/badge/github-code-blue?logo=github&logoSize=auto" alt="Github Code"></a>
 </p>
 
-### Dataset Description
-
-<!-- Provide a longer summary of what this dataset is. -->
-
-**FoldNet** aims at providing scalable 3D garment assets with realistic textures. 
-
-
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-
-
-## Uses
-
-<!-- Address questions around how the dataset is intended to be used. -->
-
-### Direct Use
-
-<!-- This section describes suitable use cases for the dataset. -->
+<strong>FoldNet</strong> is a high-fidelity synthetic dataset featuring over 4,000 unique meshes across four distinct garment categories. Designed to support a wide range of downstream applications—including robotic folding and cloth manipulation—FoldNet provides physically plausible geometries paired with photorealistic textures.
 
-## Dataset Structure
+## 🔑 Key Features
+- **Diverse Cloth Categories:** including tshirt, trousers, vest and hoodie.
+- **High Quality Mesh:**
+    - Watertight and manifold meshes.
+    - No self-intersections.
+    - Configurable resolution with adjustable vertex density and face sizing.
+- **Diverse and Realistic Textures:** High-quality textures procedurally generated via Stable-Diffusion-3.5
+- **Rich Annotation:** 
+    - Automatically labeled manipulable keypoints for robotic interaction.
+    - Pre-computed UV mapping for seamless texturing.
+- **Highly Scalable:** A robust procedural framework capable of generating an infinite variety of plausible garment shapes.
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+## 🗂️ Dataset Structure
 
-[More Information Needed]
+Under `mesh` directory, we provide raw cloth meshes with default texture:
 
-## Dataset Creation
-
-#### Data Collection and Processing
-
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-
-[More Information Needed]
-
-
-### Annotations [optional]
+```
+mesh
+├── tshirt_sp                                  # category
+│   ├── 0
+│   │   ├── mesh.obj                           # generated mesh
+│   │   ├── mesh.key.obj                       # the same mesh with keypoints marked red
+│   │   ├── mesh_info.json                     # the configurations of the mesh, like edge length and keypoint index
+│   │   ├── material.mtl
+│   │   ├── material.png                       # default texture
+│   ├── 1
+│   │   └── ...
+│   ├── ...
+├── trousers
+│   ├── ...
+├── vest_close
+│   ├── ...
+├── hooded_close
+│   ├── ...
+```
 
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
 
-#### Annotation process
+## 🛠️ Dataset Creation
 
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+**FoldNet** features a fully automated end-to-end data generation pipeline. Our framework procedurally synthesizes garment geometries, applies AI-driven texturing, and generates ground-truth annotations without human intervention.
 
-[More Information Needed]
+For technical implementation details, source code, and step-by-step instructions to reproduce the dataset, please visit the [FoldNet GitHub Repository](https://github.com/chen01yx/FoldNet_code).
 
+## 📅 TODO List 
+- [x] [2026.2] Released: 4k synthetic 3D garment assets (across 4 cloth categories). The directory is **mesh**.
+- [ ] To be released: textured cloth data.
 
 ## Citation
 
 ```bibtex
-@ARTICLE{11359673,
+@article{11359673,
   author={Chen, Yuxing and Xiao, Bowen and Wang, He},
   journal={IEEE Robotics and Automation Letters}, 
   title={FoldNet: Learning Generalizable Closed-Loop Policy for Garment Folding via Keypoint-Driven Asset and Demonstration Synthesis}, 
@@ -84,10 +88,4 @@ pretty_name: FoldNet
   pages={1-8},
   keywords={Clothing;Geometry;Imitation learning;Annotations;Trajectory;Training;Synthetic data;Pipelines;Grasping;Filtering;Bimanual manipulation;deep learning for visual perception;deep learning in grasping and manipulation},
   doi={10.1109/LRA.2026.3656770}}
-```
-
-## Dataset Card Authors
-
-## Dataset Card Contact
-
-[More Information Needed]
+```