--- configs: - config_name: default license: cc-by-nc-4.0 tags: - croissant size_categories: - 1K1 Β· Jialu Huang2 Β· Fei Wang2 Β· Mathieu Salzmann1 1EPFL CVLAb, Switzerland 2 Xi'an Jiaotong University, China [Paper](https://arxiv.org/abs/2406.08894) [WebPage](https://christy61.github.io/openmaterial.github.io/) --- ## **πŸ“Œ Update log** ### πŸ—“οΈ 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**. - πŸ”— Updated results available at: [https://christy61.github.io/openmaterial.github.io/] --- ### πŸ—“οΈ 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. - πŸ”— Full results available at: [https://christy61.github.io/openmaterial.github.io/] ### πŸ—“οΈ 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**. ### πŸ—“οΈ 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 Γ— 3 Γ— 7) - πŸ”— Data is now available. ### πŸ—“οΈ 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_). - πŸ“¦ Updated **download scripts** included. ### πŸ—“οΈ 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 (1600Γ—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
Example 1 Example 2
Example 3 Example 4
## Data structure ``` . β”œβ”€β”€ name_of_object/[lighing_condition_name]-[material_type]-[material_name] β”‚ β”œβ”€β”€ train β”‚ β”‚ β”œβ”€β”€ images β”‚ β”‚ β”‚ β”œβ”€β”€ 000000.png β”‚ β”‚ β”‚ |-- ... β”‚ β”‚ └── mask β”‚ β”‚ β”‚ β”œβ”€β”€ 000000.png β”‚ β”‚ β”‚ |-- ... β”‚ β”‚ └── depth β”‚ β”‚ β”œβ”€β”€ 000000.png β”‚ β”‚ |-- ... β”‚ β”œβ”€β”€ test β”‚ β”‚ β”œβ”€β”€ images β”‚ β”‚ β”‚ β”œβ”€β”€ 000000.png β”‚ β”‚ β”‚ |-- ... β”‚ β”‚ └── mask β”‚ β”‚ β”‚ β”œβ”€β”€ 000000.png β”‚ β”‚ β”‚ |-- ... β”‚ β”‚ └── depth β”‚ β”‚ β”œβ”€β”€ 000000.png β”‚ β”‚ |-- ... β”‚ └── transformas_train.json β”‚ └── transformas_test.json ``` ## Usage Check out our [`Example Code`](https://github.com/Christy61/OpenMaterial) for implementation details! ```