An awesome face technology repository.
An Awesome Face Technology Repository. (Updating)
face detection
face alignment
face recognition
https://becauseofAI.github.io/HelloFace (Welcome to maintain the website as a contributor through pulling request.)
CVPR2021
ICCV2021
ICIP2020
ECCV2020
SIGGRAPH2020
IJCAI2020
CVPR2020
AAAI2020
UGG: Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition
PDSN: Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network
Attentional Feature-Pair Relation Networks for Accurate Face Recognition
PFE: Probabilistic Face Embeddings
Towards Interpretable Face Recognition
Co-Mining: Deep Face Recognition With Noisy Labels
Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition
Discriminatively Learned Convex Models for Set Based Face Recognition
DVG: Dual Variational Generation for Low Shot Heterogeneous Face Recognition
CDP: Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
BCL: Video Face Clustering With Unknown Number of Clusters
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild
AWing: Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
KDN: Face Alignment With Kernel Density Deep Neural Network
DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction
Face Video Deblurring Using 3D Facial Priors
Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer
3DFC: 3D Face Modeling From Diverse Raw Scan Data
Live Face De-Identification in Video
Face-to-Parameter Translation for Game Character Auto-Creation
SC-FEGAN: Face Editing Generative Adversarial Network With User's Sketch and Color
FSGAN: Subject Agnostic Face Swapping and Reenactment
Make a Face: Towards Arbitrary High Fidelity Face Manipulation
Face De-Occlusion Using 3D Morphable Model and Generative Adversarial Network
FRV: Face Reconstruction from Voice using Generative Adversarial Networks
From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech
PFSR: Progressive Face Super-Resolution via Attention to Facial Landmark
Deep face recognition using imperfect facial data
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data
RegularFace: Deep Face Recognition via Exclusive Regularization
UniformFace: Learning Deep Equidistributed Representation for Face Recognition
P2SGrad: Refined Gradients for Optimizing Deep Face Models
AdaptiveFace: Adaptive Margin and Sampling for Face Recognition
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition
NoiseFace: Noise-Tolerant Paradigm for Training Face Recognition CNNs
Feature Transfer Learning for Face Recognition With Under-Represented Data
Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces
R3 Adversarial Network for Cross Model Face Recognition
RetinaFace: Single-stage Dense Face Localisation in the Wild
Group Sampling for Scale Invariant Face Detection
FA-RPN: Floating Region Proposals for Face Detection
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection
Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks
LTC: Learning to Cluster Faces on an Affinity Graph
FECNet: A Compact Embedding for Facial Expression Similarity
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation
Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection
TCAE: Self-Supervised Representation Learning From Videos for Facial Action Unit Detection
JAANet: Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment
2DASL: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning
MVF-Net: Multi-View 3D Face Morphable Model Regression
Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders
Towards High-Fidelity Nonlinear 3D Face Morphable Model
Combining 3D Morphable Models: A Large Scale Face-And-Head Model
Disentangled Representation Learning for 3D Face Shap
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking
MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction
Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision
Boosting Local Shape Matching for Dense 3D Face Correspondence
FML: Face Model Learning From Videos
2DASL: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning
ATVGnet: Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss
Speech2Face: Learning the Face Behind a Voice
Unsupervised Face Normalization With Extreme Pose and Expression in the Wild
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network
FUNIT: Few-Shot Unsupervised Image-to-Image Translation
Automatic Face Aging in Videos via Deep Reinforcement Learning
Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks
SAGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing
APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs
StyleGAN: A Style-Based Generator Architecture for Generative Adversarial Networks
3D Guided Fine-Grained Face Manipulation
SemanticComponent: Semantic Component Decomposition for Face Attribute Manipulation
Dataset and Benchmark: A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing
Deep Tree Learning for Zero-Shot Face Anti-Spoofing
Decorrelated Adversarial Learning for Age-Invariant Face Recognition
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition
Speech2Face: Learning the Face Behind a Voice
JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces
ATVGnet: Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss
High-Quality Face Capture Using Anatomical Muscles
Monocular Total Capture: Posing Face, Body, and Hands in the Wild
Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
:boom:Big Bang:boom:
Receptive Field Is Natural Anchor
Receptive Field Is All You Need
2K real-time detection is so easy!