VIDIT 全称 Virtual Image Dataset for Illumination Transfer，是一个参考性的评估 benchmark 。 VIDIT 包含 390 个不同的虚幻引擎场景 (Unreal Engine scenes)，每个场景使用 40 种照明设置捕获，产生 15,600 张图像。 照明设置是 5 种色温（2500K 、 3500K 、 4500K 、 5500K 和 6500K）和 8 种光线方向（N 、 NE 、 E 、 SE 、 S 、 SW 、 W 、 NW）的所有组合。原始图像分辨率为 1024×1024 。 该数据集由洛桑理工发布。

Citation

@article{elhelou2020vidit, title = {{VIDIT}: Virtual Image Dataset for Illumination Transfer}, author = {El Helou, Majed and Zhou, Ruofan and Barthas, Johan and S{\”u}sstrunk, Sabine}, journal = {arXiv preprint arXiv:2005.05460}, year = {2020} } @inproceedings{elhelou2020aim, title = {{AIM} 2020: Scene Relighting and Illumination Estimation Challenge}, author = {El Helou, Majed and Zhou, Ruofan and S{\”u}sstrunk, Sabine and Timofte, Radu and others}, booktitle = {Proceedings of the European Conference on Computer Vision Workshops (ECCVW)}, year = {2020} } @inproceedings{elhelou2021ntire, title = {{NTIRE} 2021 Depth Guided Image Relighting Challenge}, author = {El Helou, Majed and Zhou, Ruofan and S{\”u}sstrunk, Sabine and Timofte, Radu}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)}, pages = {566–577}, year = {2021} }