| --- |
| configs: |
| - config_name: default |
|
|
| license: cc-by-nc-4.0 |
| tags: |
| - croissant |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - image-to-3d |
| --- |
| |
| # OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction |
| |
| Zheng Dang<sup>1</sup> · Jialu Huang<sup>2</sup> · Fei Wang<sup>2</sup> · Mathieu Salzmann<sup>1</sup> |
|
|
| <sup>1</sup>EPFL CVLAb, Switzerland <sup>2</sup> Xi'an Jiaotong University, China |
| |
|
|
| [Paper](https://arxiv.org/abs/2406.08894) |
|
|
| [WebPage](https://christy61.github.io/openmaterial.github.io/) |
|
|
| <img src="https://cdn-uploads.huggingface.co/production/uploads/665def1b1d30854dbbde3e87/PBaPM9PAickSO8LnmWF9z.png" width="92%"/> |
|
|
| --- |
| ## **📌 Update log** |
|
|
| ### 🗓️ March 2025 |
|
|
| - Updated **degnosie scripts** to identify and address rare missing cases caused by server-side cluster fluctuations. |
| |
| - Refined benchmark results for selected algorithms (_NeRO_, _GES_, _GaussianShader_) on the **Ablation Dataset**. |
| |
| - ⚠️ Note: Main benchmark results remain **unaffected**. |
| |
| - 🔗 Updated results available at: [https://christy61.github.io/openmaterial.github.io/] |
| |
| --- |
|
|
| ### 🗓️ November 2024 |
|
|
| - Released **benchmark results** on the **Ablation Dataset**, with strict control over **shape**, **material**, and **lighting** variables. |
|
|
| - Benchmarked a set of representative algorithms across two tasks: |
|
|
| - _Novel View Synthesis_: Gaussian Splatting, Instant-NGP, 2DGS, PGSR, GES, GSDR, GaussianShader |
|
|
| - _3D Reconstruction_: Instant-NeuS, NeuS2, 2DGS, PGSR, NeRO |
|
|
| - Updated evaluation scripts to **incorporate new algorithms** and support the **Ablation Dataset benchmarking format**. |
|
|
| - Improved **evaluation code** to better visualize benchmarking comparisons. |
|
|
| - 🔗 Full results available at: [https://christy61.github.io/openmaterial.github.io/] |
|
|
|
|
| ### 🗓️ October 2024 |
|
|
| - Released extended **benchmark results** on the **Main Dataset**: |
|
|
| - _7 Novel View Synthesis methods_: Gaussian Splatting, Instant-NGP, 2DGS, PGSR, GES, GSDR, GaussianShader |
| |
| - _6 3D Reconstruction methods_: Instant-NeuS, NeuS2, 2DGS, PGSR, NeRO, NeRRF |
| |
| - Highlighted algorithms specialized for **challenging materials**: NeRO, NeRRF, GSDR, GaussianShader |
| |
| - Updated evaluation scripts to **incorporate new algorithms**. |
|
|
| ### 🗓️ September 2024 |
|
|
| - Introduced a new **Ablation Dataset** for controlled analysis of 3D reconstruction and view synthesis. |
| |
| - Controlled variables: |
| |
| - **Objects**: Vase, Snail, Boat, Motor Bike, Statue |
| |
| - **Lighting**: Indoor, Daytime Garden, Nighttime Street |
| |
| - **Materials**: Conductor， Dielectric Plastic， Rough Conductor， Rough Dielectric， Rough Plastic， Diffuse |
| |
| - Total: **105 unique scenes** (5 × 3 × 7) |
| |
| - 🔗 Data is now available. |
| |
| ### 🗓️ July 2024 |
| |
| - Dataset restructured for **flexible material-type-based downloading**. |
| |
| - Users can now download subsets of data focusing on specific material categories (e.g., _diffuse_, _conductor_, _dielectric_, _plastic_). |
| |
| - 📦 Updated **download scripts** included. |
| |
| ### 🗓️ May 2024 |
| |
| - Released **OpenMaterial**, a semi-synthetic dataset featuring: |
| |
| - **1001 unique shapes**, **295 materials** with lab-measured IOR spectra |
| |
| - **723 lighting conditions** |
| |
| - High-res images (1600×1200), camera poses, depth, 3D models, masks |
| |
| - Stored in standard **COLMAP** format |
| |
| - Released a **new benchmark** including a novel evaluation dimension: **material type** |
| |
| - Benchmarked methods: Instant-NeuS, NeuS2, Gaussian Splatting, Instant-NGP |
| |
| ## Dataset |
|
|
| [+] 1001 unique shapes |
|
|
| [+] 295 material types with laboratory measured IOR |
|
|
| [+] 723 lighting conditions |
|
|
| [+] Physical based rendering with costomized BSDF for each material type |
|
|
| [+] 1001 uniques scenes, for each scene 90 images (50 for training, 40 for testing) with object mask, depth, camera pose, materail type annotations. |
|
|
| ## Example Images |
|
|
| <div style="display: flex; align-items: flex-start; justify-content: flex-start; gap:2%;"> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/638884d65588554e2425e625/dlFmsdbJqFKnDUN3yg_S1.png" style="width:40%;" alt="Example 1"/> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/638884d65588554e2425e625/A9mmqEVW_3BgMWey5cPrC.png" style="width:40%;" alt="Example 2"/> |
| </div> |
| <div style="display: flex; align-items: flex-start; justify-content: flex-start; gap:2%; margin-top:-2em;"> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/638884d65588554e2425e625/1k_zGTTZAYyJtcIDo0FOO.png" style="width:40%;" alt="Example 3"/> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/638884d65588554e2425e625/w5P_MvlTXt6FMwEDMwPwe.png" style="width:40%;" alt="Example 4"/> |
| </div> |
|
|
|
|
| ## Data structure |
|
|
| ``` |
| . |
| ├── name_of_object/[lighing_condition_name]-[material_type]-[material_name] |
| │ ├── train |
| │ │ ├── images |
| │ │ │ ├── 000000.png |
| │ │ │ |-- ... |
| │ │ └── mask |
| │ │ │ ├── 000000.png |
| │ │ │ |-- ... |
| │ │ └── depth |
| │ │ ├── 000000.png |
| │ │ |-- ... |
| │ ├── test |
| │ │ ├── images |
| │ │ │ ├── 000000.png |
| │ │ │ |-- ... |
| │ │ └── mask |
| │ │ │ ├── 000000.png |
| │ │ │ |-- ... |
| │ │ └── depth |
| │ │ ├── 000000.png |
| │ │ |-- ... |
| │ └── transformas_train.json |
| │ └── transformas_test.json |
| |
| ``` |
|
|
| ## Usage |
|
|
| Check out our [`Example Code`](https://github.com/Christy61/OpenMaterial) for implementation details! |
|
|
| <!-- ## Citation |
|
|
| If you find our work useful in your research, please cite: |
|
|
| ``` |
| @article{Dang24, |
| title={OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction}, |
| author={Zheng Dang and Jialu Huang and Fei Wang and Mathieu Salzmann}, |
| journal={arXiv preprint arXiv:2406.08894}, |
| year={2024} |
| } |
| --> |
| |
| ``` |
|
|
