The Second Workshop on the Evaluation of the Generative Foundation Models
FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lim_2026_CVPR, author = {Lim, Youngsun and Ham, Cusuh and Chen, Pin-Yu and Ghadiyaram, Deepti}, title = {FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4650-4658} }
DB-3DME: From Dataset to Benchmark for Human-aligned Automatic 3D Mesh Evaluation-
[pdf]
[bibtex]@InProceedings{Jia_2026_CVPR, author = {Jia, Nanshan and Zhao, Zhenyu and Huang, Sui and Wang, Jingshen and Zheng, Zeyu}, title = {DB-3DME: From Dataset to Benchmark for Human-aligned Automatic 3D Mesh Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4631-4640} }
ZCFD: A Depth-Aware Global Context and Hallucination Metric for Object Removal-
[pdf]
[bibtex]@InProceedings{Lee_2026_CVPR, author = {Lee, Yoojeong and Hong, Kibeom}, title = {ZCFD: A Depth-Aware Global Context and Hallucination Metric for Object Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {4641-4649} }