2 papers
cs.CV2026
3D-DefectBench: A Controlled Factorial Study of Vision-Language Model Evaluation Pipelines for Fine-Grained 3D Generation Defects
Zhenyu Zhao, Nanshan Jia, Jihyeon Je +7
Automated evaluation is essential for scaling generative 3D systems, where exhaustive human review is costly and slow. However, the reliability of an automated judge depends on the…
cs.CV2026
DB-3DME: From Dataset to Benchmark for Human-aligned Automatic 3D Mesh Evaluation
Nanshan Jia, Zhenyu Zhao, Sui Huang +2
Recent advances in 3D generation have led to substantial improvements in realism, controllability, and efficiency, yet the evaluation of 3D assets remains underexplored. Existing e…