aieval2026/3d-defectbench
3D-DefectBench A benchmark and controlled study of vision-language models (VLMs) as judges for fine-grained defect detection in text-to-3D generated assets. Each asset carries a 9-dimensional binary defect vector over five geometry and four texture defect categories, three of which are prompt-conditioned. Version 1.1 adds the complete set of 1,000 benchmark GLB assets, the cell-level VLM prediction table, and the TRELLIS cross-generator prompts and prediction tables. TRELLIS… See the full description on the dataset page: https://huggingface.co/datasets/aieval2026/3d-defectbench.
| Author / organization | aieval2026 |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 311 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 May 2026 |
| Last updated at source | 4 October 2026 |
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