Copy README.md from OmniWeave/Consis3D-Bench (verbatim)
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README.md
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---
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license: apache-2.0
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language:
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- en
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task_categories:
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- image-to-3d
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- text-to-3d
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- other
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tags:
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- 3d
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- 3d-editing
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- mesh
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- benchmark
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size_categories:
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- n<1K
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pretty_name: Consis3D-Bench
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---
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<h1 align="center" style="font-size: 3em; margin-bottom: 0.2em;">Consis3D-Bench</h1>
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The evaluation benchmark of the paper
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**[Omni123: Exploring 3D Native Foundation Models with Limited 3D Data by Unifying Text to 2D and 3D Generation](https://arxiv.org/abs/2604.02289)**.
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Consis3D-Bench is the **first 3D editing benchmark with meshes sculpted by professional artists**.
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## Source of the data
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The pipeline is the same as [3DEdit-1M](https://huggingface.co/datasets/OmniWeave/3DEdit-1M), except that the target 3D meshes are sculpted by professional artists:
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- **Edit instruction** synthesized by [Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B).
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- **Target image** generated by [FLUX.2-klein-9b-kv](https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-kv).
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- **Source 3D meshes** generated by [Hunyuan3D-2-mini](https://github.com/Tencent-Hunyuan/Hunyuan3D-2) from the source images.
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- **Target 3D meshes** hand-sculpted by **professional artists** from the source mesh, following the edit instruction and target image.
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## Dataset structure
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```
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benchmark/
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├── <uuid>/
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│ ├── source.glb
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│ ├── target.glb
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│ ├── consistent_mesh.glb
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│ ├── source.rgba.webp
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│ ├── target.rgba.webp
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│ ├── normal_front.png
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│ ├── normal_back.png
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│ ├── normal_left.png
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│ ├── normal_right.png
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│ ├── normal_top.png
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│ ├── normal_bottom.png
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│ └── instruction.txt
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└── ...
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```
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| File | Description |
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| --- | --- |
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| `source.glb` | Source mesh from Hunyuan3D-2-mini, normalized so the longest bbox extent fits in `[-1, 1]³` |
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| `target.glb` | Artist-edited target mesh (same frame as source) |
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| `consistent_mesh.glb` | The unchanged region of `source.glb` (used to score consistency) |
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| `source.rgba.webp` | 4-view fused source RGBA render |
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| `target.rgba.webp` | 4-view fused target RGBA render |
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| `normal_{front,back,left,right,top,bottom}.png` | 512×512 view-space normal maps of the target mesh |
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| `instruction.txt` | Edit instruction synthesized by [Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B) |
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All meshes share the same coordinate frame: Y-up, centered at the origin, target's longest bounding-box extent normalized to 2.0 (mesh fits inside `[-1, 1]³`).
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## Evaluation Metrics
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1. **Consistent average Chamfer distance** — one-way CD from the unchanged region of source to the prediction.
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2. **ULIP-2 point feature similarity** — cosine similarity between gt and pred ULIP-2 point embeddings.
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3. **6-view normal image similarity** — DINO-I / CLIP-I / SSIM / LPIPS between `normal_*.png` and the corresponding renders of the prediction.
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## License
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Released under the **[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)**.
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