DisFace3DNet: Explainable Facial Attractiveness Prediction via 3D Component Disentanglement

arXiv:2610.11656 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Comments: Includes supplemental materials

Code: https://github.com/RobbieRao/DisFace3DNet

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Benchmark — 31× in this paper · explained in 2 episodes
Ablation — 8× in this paper · explained in 1 episode
Transformer — 8× in this paper · explained in 2 episodes
Consistency — 4× in this paper · explained in 3 episodes
Accuracy — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Distillation — 2× in this paper · explained in 2 episodes
Embeddings — 2× in this paper · explained in 2 episodes
Regularization — 2× in this paper · explained in 3 episodes
Semi-supervised Learning — 2× in this paper · explained in 4 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Additive Decomposition — 1× in this paper · explained in 1 episode
Animat — 1× in this paper · explained in 1 episode
Basel Face Model — 1× in this paper
Calibration — 1× in this paper · explained in 7 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Hong Kong Polytechnic University Institutional Review Board — 1× in this paper
Interpretability — 1× in this paper · explained in 15 episodes
Multimodal Learning — 1× in this paper · explained in 2 episodes
Pairwise Comparisons — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Two-stage training — 1× in this paper · explained in 2 episodes

Sources

Distilling the Knowledge in a Neural Network

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