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README.md
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@@ -86,6 +86,78 @@ pie title Parameter Distribution (419M total)
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---
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## Why ONNX?
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```mermaid
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---
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## Benchmarks
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Performance from the [TripoSR paper](https://arxiv.org/abs/2403.02151), evaluated on the GSO and OmniObject3D datasets.
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### F-Score @ 0.1 (higher is better)
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```mermaid
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xychart-beta
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title "F-Score @ 0.1 — GSO Dataset"
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x-axis ["One-2-3-45", "OpenLRM", "ZeroShape", "TGS", "TripoSR"]
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y-axis "F-Score" 0.0 --> 0.75
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bar [0.382, 0.430, 0.489, 0.637, 0.651]
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```
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```mermaid
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xychart-beta
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title "F-Score @ 0.1 — OmniObject3D Dataset"
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x-axis ["One-2-3-45", "OpenLRM", "ZeroShape", "TGS", "TripoSR"]
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y-axis "F-Score" 0.0 --> 0.75
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bar [0.445, 0.486, 0.507, 0.602, 0.677]
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```
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### Chamfer Distance (lower is better)
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```mermaid
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xychart-beta
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title "Chamfer Distance — GSO Dataset"
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x-axis ["TripoSR", "TGS", "ZeroShape", "OpenLRM", "One-2-3-45"]
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y-axis "Chamfer Distance" 0.0 --> 0.25
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bar [0.111, 0.122, 0.160, 0.180, 0.227]
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```
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```mermaid
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xychart-beta
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title "Chamfer Distance — OmniObject3D Dataset"
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x-axis ["TripoSR", "TGS", "ZeroShape", "OpenLRM", "One-2-3-45"]
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y-axis "Chamfer Distance" 0.0 --> 0.25
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bar [0.102, 0.142, 0.144, 0.155, 0.197]
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```
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### Full Results
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<details>
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<summary><b>GSO Dataset</b></summary>
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| Method | CD ↓ | FS@0.1 ↑ | FS@0.2 ↑ | FS@0.5 ↑ |
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|:--|:--|:--|:--|:--|
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| One-2-3-45 | 0.227 | 0.382 | 0.630 | 0.878 |
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| ZeroShape | 0.160 | 0.489 | 0.757 | 0.952 |
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| OpenLRM | 0.180 | 0.430 | 0.698 | 0.938 |
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| TGS | 0.122 | 0.637 | 0.846 | 0.968 |
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| **TripoSR** | **0.111** | **0.651** | **0.871** | **0.980** |
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</details>
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<details>
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<summary><b>OmniObject3D Dataset</b></summary>
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| Method | CD ↓ | FS@0.1 ↑ | FS@0.2 ↑ | FS@0.5 ↑ |
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|:--|:--|:--|:--|:--|
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| One-2-3-45 | 0.197 | 0.445 | 0.698 | 0.907 |
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| ZeroShape | 0.144 | 0.507 | 0.786 | 0.968 |
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| OpenLRM | 0.155 | 0.486 | 0.759 | 0.959 |
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| TGS | 0.142 | 0.602 | 0.818 | 0.949 |
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| **TripoSR** | **0.102** | **0.677** | **0.890** | **0.986** |
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</details>
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> *Metrics sourced from [TripoSR: Fast 3D Object Reconstruction from a Single Image](https://arxiv.org/abs/2403.02151) (Tochilkin et al., 2024)*
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---
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## Why ONNX?
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```mermaid
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