Official Code for Paper <Transferring Rich Deep Features for Facial Beauty Prediction> (arXiv1803.07253)
Official PyTorch implementation of paper <Hierarchical Multi-task Network For Race, Gender and Facial Attractiveness Recognition> (IEEE International Conference on Image Processing (ICIP) 2019)
Deep learning model to predict a beauty score for faces in images. Outperforms the state-of-the-art by up to 18% (2019).
Official PyTorch Implementation of Paper <CRNet: Classification and Regression Neural Network for Facial Beauty Prediction> (Pacific-Rim Conference on Multimedia (PCM) 2018)
Facial beauty prediction using CNNs on the MEBeauty database
Label-distribution learning for estimating aggregate human ratings of facial attractiveness, with uncertainty and fairness auditing. Trained on SCUT-FBP5500.
Explore PyTorch implementations of Recurrent Independent Mechanisms for modular sequence modeling and research experiments
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