Face Model
68 papers with code • 0 benchmarks • 5 datasets
Benchmarks
These leaderboards are used to track progress in Face Model
Libraries
Use these libraries to find Face Model models and implementations
FaceWarehouse
FaceScape
HUMBI
MeGlass
Most implemented papers
SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person
csehong/SSPP-DAN
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In the proposed approach, domain adaptation, feature extraction, and classification are performed jointly using a deep architecture with domain-adversarial training.
Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model
Automatic age estimation from real-world and unconstrained face images is rapidly gaining importance.
HoloFace: Augmenting Human-to-Human Interactions on HoloLens
Head pose estimation is accomplished by fitting a deformable 3D model to the landmarks localized using face alignment.
Face Synthesis for Eyeglass-Robust Face Recognition
A feasible method is to collect large-scale face images with eyeglasses for training deep learning methods.
3D Face From X: Learning Face Shape from Diverse Sources
Although 3D scanned data contain accurate geometric information of face shapes, the capture system is expensive and such datasets usually contain a small number of subjects.
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment
bobetocalo/bobetocalo_eccv18
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ECCV 2018
In this paper we present DCFE, a real-time facial landmark regression method based on a coarse-to-fine Ensemble of Regression Trees (ERT).
Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection?
We observe the following positive effects for face recognition and facial landmark detection tasks: 1) Priming with synthetic face images improves the performance consistently across all benchmarks because it reduces the negative effects of biases in the training data.
Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
bobetocalo/bobetocalo_eccv18
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In this paper we present 3DDE, a robust and efficient face alignment algorithm based on a coarse-to-fine cascade of ensembles of regression trees.
3D Face Modeling From Diverse Raw Scan Data
Traditional 3D face models learn a latent representation of faces using linear subspaces from limited scans of a single database.
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
vsitzmann/scene-representation-networks
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NeurIPS 2019
Unsupervised learning with generative models has the potential of discovering rich representations of 3D scenes.
