Most of the AR filters available on social media platforms --such as Instagram, TikTok, SnapChat-- can only be applied in real-time on selfie images captured from the camera. Hence, it is challenging to carry out quantitative and systematic research on such filters. OpenFilter fulfills such a need by enabling the application of AR filters on publicly available datasets of faces.
Please find more information here: put link of the github folder
Through OpenFilter, we have beautified two datasets (FairBeauty and B-LFW), available at: PUT LINK. Please find more information here: put link of the github folder
CC BY-NC 4.0 find new license for the code and update this sentence The framework and the datasets are part of a scientific paper currently under review for NAME OF THE CONFERENCE, under the title TITLE OF THE PAPER.