zzhao0500/3D-DefectBench
3D-DefectBench A controlled benchmark for evaluating vision-language models (VLMs) as fine-grained judges of defects in text-to-3D generation. 3D-DefectBench is a VLM-as-a-judge benchmark for detecting fine-grained defects in textured 3D meshes. It lets you measure how well any VLM judge aligns with human judgment: run your judge over the assets and score its predictions against the human defect labels provided here. Each example pairs a text prompt with a generated, textured 3D… See the full description on the dataset page: https://huggingface.co/datasets/zzhao0500/3D-DefectBench.
| Author / organization | zzhao0500 |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 733 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 7 July 2026 |
| Last updated at source | 4 October 2026 |
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