Facial Beauty Prediction
5 papers with code • 3 benchmarks • 0 datasets
Facial beauty prediction is the task of predicting the attractiveness of a face.
( Image credit: SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction )
Benchmarks
These leaderboards are used to track progress in Facial Beauty Prediction
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
Latest papers with no code
Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning
In recent years, image generation has made great strides in improving the quality of images, producing high-fidelity ones.
Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction
Facial beauty prediction (FBP) aims to develop a machine that automatically makes facial attractiveness assessment.
AestheticNet: Reducing bias in facial data sets under ethical considerations
Our experiments prove that human aesthetic judgements are usually biased.
Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Impression Prediction
In just a few years, online dating has become the dominant way that young people meet to date, making the deceptively error-prone task of picking good dating profile photos vital to a generation's ability to form romantic connections.
A new humanlike facial attractiveness predictor with cascaded fine-tuning deep learning model
This paper proposes a deep leaning method to address the challenging facial attractiveness prediction problem.
