Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objects

Shalini Maiti; Lourdes Agapito; Filippos Kokkinos

doi:10.1109/cvpr52734.2025.01729

CVPR2025顶会

Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objects

Shalini Maiti, Lourdes Agapito, Filippos Kokkinos

arXiv DOI 出版方

2025年份

1顶会引用

摘要

Object 1 Object 2 Object 1 Object 2 Gen3DEval Object 1 Object 2 Object 1 Object 2 Object 1 Object 2

Figure 1. Gen3DEval: A holistic ranking metric to assess the quality of generated 3D objects on appearance, surface quality and text fidelity using a vision large language model (vLLM) which is trained to choose the better out of two objects on the three evaluation dimensions (appearance, text fidelity or surface quality).