VIDIT, short for Virtual Image Dataset for Illumination Transfer, is a reference evaluation benchmark. VIDIT contains 390 different Unreal Engine scenes, each captured using 40 lighting settings, generating 15,600 images. The lighting settings are all combinations of 5 color temperatures (2500K, 3500K, 4500K, 5500K, and 6500K) and 8 light directions (N, NE, E, SE, S, SW, W, NW). The original image resolution is 1024×1024. This dataset is released by EPFL.

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} }