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README.md
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[WebPage](https://christy61.github.io/openmaterial.github.io/)
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---
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## **📌 Update log**
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### 🗓️ March 2025
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- Updated **degnosie scripts** to identify and address rare missing cases caused by server-side cluster fluctuations.
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- Refined benchmark results for selected algorithms (_NeRO_, _GES_, _GaussianShader_) on the **Ablation Dataset**.
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- ⚠️ Note: Main benchmark results remain **unaffected**.
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- 🔗 Updated results available at: [https://christy61.github.io/openmaterial.github.io/]
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---
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### 🗓️ November 2024
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- Released **benchmark results** on the **Ablation Dataset**, with strict control over **shape**, **material**, and **lighting** variables.
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- Benchmarked a set of representative algorithms across two tasks:
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- _Novel View Synthesis_: Gaussian Splatting, Instant-NGP, 2DGS, PGSR, GES, GSDR, GaussianShader
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- _3D Reconstruction_: Instant-NeuS, NeuS2, 2DGS, PGSR, NeRO
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- Updated evaluation scripts to **incorporate new algorithms** and support the **Ablation Dataset benchmarking format**.
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- Improved **evaluation code** to better visualize benchmarking comparisons.
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- 🔗 Full results available at: [https://christy61.github.io/openmaterial.github.io/]
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### 🗓️ October 2024
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- Released extended **benchmark results** on the **Main Dataset**:
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- _7 Novel View Synthesis methods_: Gaussian Splatting, Instant-NGP, 2DGS, PGSR, GES, GSDR, GaussianShader
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- _6 3D Reconstruction methods_: Instant-NeuS, NeuS2, 2DGS, PGSR, NeRO, NeRRF
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- Highlighted algorithms specialized for **challenging materials**: NeRO, NeRRF, GSDR, GaussianShader
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- Updated evaluation scripts to **incorporate new algorithms**.
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### 🗓️ September 2024
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- Introduced a new **Ablation Dataset** for controlled analysis of 3D reconstruction and view synthesis.
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- Controlled variables:
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- **Objects**: Vase, Snail, Boat, Motor Bike, Statue
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- **Lighting**: Indoor, Daytime Garden, Nighttime Street
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- **Materials**: Conductor, Dielectric Plastic, Rough Conductor, Rough Dielectric, Rough Plastic, Diffuse
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- Total: **105 unique scenes** (5 × 3 × 7)
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- 🔗 Data is now available.
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### 🗓️ July 2024
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- Dataset restructured for **flexible material-type-based downloading**.
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- Users can now download subsets of data focusing on specific material categories (e.g., _diffuse_, _conductor_, _dielectric_, _plastic_).
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- 📦 Updated **download scripts** included.
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### 🗓️ May 2024
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- Released **OpenMaterial**, a semi-synthetic dataset featuring:
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- **1001 unique shapes**, **295 materials** with lab-measured IOR spectra
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- **723 lighting conditions**
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- High-res images (1600×1200), camera poses, depth, 3D models, masks
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- Stored in standard **COLMAP** format
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- Released a **new benchmark** including a novel evaluation dimension: **material type**
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- Benchmarked methods: Instant-NeuS, NeuS2, Gaussian Splatting, Instant-NGP
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## Dataset
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