3D-DefectBench: A Controlled Factorial Study of Vision-Language Model Evaluation Pipelines for Fine-Grained 3D Generation Defects
3D-DefectBench is introduced, a benchmark and framework for systematic analysis of VLM-based 3D defect detection pipelines, and finds that automated judges should be evaluated as complete pipelines and calibrated across human reference regimes, rather than benchmarked only as standalone models.