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Facial Beauty Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Facial beauty prediction is the task of predicting the attractiveness of a face.
<span style="color:grey; opacity: 0.6">( Image credit: SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Facial Beauty Analysis Using Distribution Prediction and CNN Ensembles
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction
Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning
Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction
Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Impression Prediction
Transferring Rich Deep Features for Facial Beauty Prediction
SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction
A new humanlike facial attractiveness predictor with cascaded fine-tuning deep learning model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.