becauseofAI/HelloFace
An awesome face technology repository.
| repo name | becauseofAI/HelloFace |
| repo link | https://github.com/becauseofAI/HelloFace |
| homepage | https://becauseofAI.github.io/HelloFace |
| language | HTML |
| size (curr.) | 13476 kB |
| stars (curr.) | 665 |
| created | 2017-12-13 |
| license | Apache License 2.0 |
:boom:Big Bang:boom:
Receptive Field Is Natural Anchor
Receptive Field Is All You Need
[Paper] [MXNet] [PyTorch] 
HelloFace 
Face Technology Repository(Updating)
🔥🔥🔥Website: https://becauseofAI.github.io/HelloFace 👍👍👍
- Recent Update
- Face Benchmark and Dataset
- Face Recognition
- Face Detection
- Face Landmark
- Face Clustering
- Face Expression
- Face Action
- Face 3D
- Face GAN
- Face Deblurring
- Face Super-Resolution
- Face Manipulation
- Face Anti-Spoofing
- Face Adversarial Attack
- Face Cross-Modal
- Face Capture
- Face Lib and Tool
👋Recent Update
2020/01/26
-
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
2019/07/11
-
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
2019/04/06
- ISRN: Improved Selective Refinement Network for Face Detection
- DSFD: Dual Shot Face Detector
- PyramidBox++: High Performance Detector for Finding Tiny Face
- VIM-FD: Robust and High Performance Face Detector
- SHF: Robust Face Detection via Learning Small Faces on Hard Images
- SRN: Selective Refinement Network for High Performance Face Detection
- SFDet: Single-Shot Scale-Aware Network for Real-Time Face Detection
- JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces
- PFLD: A Practical Facial Landmark Detector
- LinkageFace: Linkage Based Face Clustering via Graph Convolution Network
- MLT: Face Recognition: A Novel Multi-Level Taxonomy based Survey
- GhostVLAD: GhostVLAD for set-based face recognition
- DocFace+: ID Document to Selfie Matching
- DiF: Diversity in Faces
- 2018Survey: Face Recognition: From Traditional to Deep Learning Methods
2019/01/12
- 2018Survey: Deep Facial Expression Recognition: A Survey
- 2018Survey: Deep Face Recognition: A Survey
- SphereFace+(MHE): Learning towards Minimum Hyperspherical Energy
- HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
2018/12/01
- FRVT: Face Recognition Vendor Test
- GANimation: Anatomically-aware Facial Animation from a Single Image
- StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
- Faceswap: A tool that utilizes deep learning to recognize and swap faces in pictures and videos
- HF-PIM: Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization
- PRNet: Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
- LAB: Look at Boundary: A Boundary-Aware Face Alignment Algorithm
- Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
- Face-Alignment: How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
- Face3D: Python tools for processing 3D face
- IMDb-Face: The Devil of Face Recognition is in the Noise
- AAM-Softmax(CCL): Face Recognition via Centralized Coordinate Learning
- AM-Softmax: Additive Margin Softmax for Face Verification
- FeatureIncay: Feature Incay for Representation Regularization
- NormFace: L2 hypersphere embedding for face Verification
- CocoLoss: Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
- L-Softmax: Large-Margin Softmax Loss for Convolutional Neural Networks
2018/07/21
- MobileFace: A face recognition solution on mobile device
- Trillion Pairs: Challenge 3: Face Feature Test/Trillion Pairs
- MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
2018/04/20
- PyramidBox: A Context-assisted Single Shot Face Detector
- PCN: Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
- S³FD: Single Shot Scale-invariant Face Detector
- SSH: Single Stage Headless Face Detector
- NPD: A Fast and Accurate Unconstrained Face Detector
- PICO: Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
- libfacedetection: A fast binary library for face detection and face landmark detection in images.
- SeetaFaceEngine: SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification.
- FaceID: An implementation of iPhone X’s FaceID using face embeddings and siamese networks on RGBD images.
2018/03/28
- InsightFace(ArcFace): 2D and 3D Face Analysis Project
- CosFace: Large Margin Cosine Loss for Deep Face Recognition
🔖Face Benchmark and Dataset
Face Recognition Data
- DiF: Diversity in Faces [project] [blog]
- FRVT: Face Recognition Vendor Test [project] [leaderboard]
- IMDb-Face: The Devil of Face Recognition is in the Noise(59k people in 1.7M images) [paper] [dataset]
- Trillion Pairs: Challenge 3: Face Feature Test/Trillion Pairs(MS-Celeb-1M-v1c with 86,876 ids/3,923,399 aligned images + Asian-Celeb 93,979 ids/2,830,146 aligned images) [benckmark] [dataset] [result]
- MF2: Level Playing Field for Million Scale Face Recognition(672K people in 4.7M images) [paper] [dataset] [result] [benckmark]
- MegaFace: The MegaFace Benchmark: 1 Million Faces for Recognition at Scale(690k people in 1M images) [paper] [dataset] [result] [benckmark]
- UMDFaces: An Annotated Face Dataset for Training Deep Networks(8k people in 367k images with pose, 21 key-points and gender) [paper] [dataset]
- MS-Celeb-1M: A Dataset and Benchmark for Large Scale Face Recognition(100K people in 10M images) [paper] [dataset] [result] [benchmark] [project]
- VGGFace2: A dataset for recognising faces across pose and age(9k people in 3.3M images) [paper] [dataset]
- VGGFace: Deep Face Recognition(2.6k people in 2.6M images) [paper] [dataset]
- CASIA-WebFace: Learning Face Representation from Scratch(10k people in 500k images) [paper] [dataset]
- LFW: Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments(5.7k people in 13k images) [report] [dataset] [result] [benchmark]
Face Detection Data
- WiderFace: WIDER FACE: A Face Detection Benchmark(400k people in 32k images with a high degree of variability in scale, pose and occlusion) [paper] [dataset] [result] [benchmark]
- FDDB: A Benchmark for Face Detection in Unconstrained Settings(5k faces in 2.8k images) [report] [dataset] [result] [benchmark]
Face Landmark Data
- LS3D-W: A large-scale 3D face alignment dataset constructed by annotating the images from AFLW, 300VW, 300W and FDDB in a consistent manner with 68 points using the automatic method [paper] [dataset]
- AFLW: Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization(25k faces with 21 landmarks) [paper] [benchmark]
Face Attribute Data
- CelebA: Deep Learning Face Attributes in the Wild(10k people in 202k images with 5 landmarks and 40 binary attributes per image) [paper] [dataset]
🔖Face Recognition
- Live Face De-Identification in Video [paper]
- UGG: Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition [paper]
- PDSN: Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network [paper] [code]
- Attentional Feature-Pair Relation Networks for Accurate Face Recognition [paper]
- Probabilistic Face Embeddings [paper] [code]
- Towards Interpretable Face Recognition [paper] [code] [project]
- Co-Mining: Deep Face Recognition With Noisy Labels [paper]
- Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition [paper]
- Discriminatively Learned Convex Models for Set Based Face Recognition [paper]
- DVG: Dual Variational Generation for Low Shot Heterogeneous Face Recognition [paper] [code]
- Deep face recognition using imperfect facial data [paper]
- Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data [paper] [code]
- RegularFace: Deep Face Recognition via Exclusive Regularization [paper]
- UniformFace: Learning Deep Equidistributed Representation for Face Recognition [paper]
- P2SGrad: Refined Gradients for Optimizing Deep Face Models [paper]
- AdaptiveFace: Adaptive Margin and Sampling for Face Recognition [paper]
- AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations [paper] [code1] [code2]
- Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition [paper]
- NoiseFace: Noise-Tolerant Paradigm for Training Face Recognition CNNs [paper] [code]
- Feature Transfer Learning for Face Recognition With Under-Represented Data [paper]
- Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces [paper] [code] [dataset]
- R3 Adversarial Network for Cross Model Face Recognition [paper]
- MLT: Face Recognition: A Novel Multi-Level Taxonomy based Survey [paper]
- CDP: Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition [paper] [code] [project]
- GhostVLAD: GhostVLAD for set-based face recognition [paper]
- DocFace+: ID Document to Selfie Matching [paper] [code]
- 2018Survey: Face Recognition: From Traditional to Deep Learning Methods [paper]
- 2018Survey: Deep Facial Expression Recognition: A Survey [paper]
- 2018Survey: Deep Face Recognition: A Survey [paper]
- SphereFace+(MHE): Learning towards Minimum Hyperspherical Energy [paper] [code]
- MobileFace: A face recognition solution on mobile device [code]
- MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices [paper] [code1] [code2] [code3] [code4]
- FaceID: An implementation of iPhone X’s FaceID using face embeddings and siamese networks on RGBD images. [code] [blog]
- InsightFace(ArcFace): 2D and 3D Face Analysis Project [paper] [code1]
[code2] - AAM-Softmax(CCL): Face Recognition via Centralized Coordinate Learning [paper]
- AM-Softmax: Additive Margin Softmax for Face Verification [paper] [code1] [code2]
- CosFace: Large Margin Cosine Loss for Deep Face Recognition [paper] [code1] [code2]
- FeatureIncay: Feature Incay for Representation Regularization [paper]
- CocoLoss: Rethinking Feature Discrimination and Polymerization for Large-scale Recognition [paper] [code]
- NormFace: L2 hypersphere embedding for face Verification [paper] [code]
- SphereFace(A-Softmax): Deep Hypersphere Embedding for Face Recognition [paper] [code]
- L-Softmax: Large-Margin Softmax Loss for Convolutional Neural Networks [paper] [code1] [code2] [code3] [code4] [code5] [code6] [code7]
- CenterLoss: A Discriminative Feature Learning Approach for Deep Face Recognition [paper] [code1] [code2] [code3] [code4]
- OpenFace: A general-purpose face recognition library with mobile applications [report] [project] [code1] [code2]
- FaceNet: A Unified Embedding for Face Recognition and Clustering [paper] [code]
- DeepID3: DeepID3: Face Recognition with Very Deep Neural Networks [paper]
- DeepID2+: Deeply learned face representations are sparse, selective, and robust [paper]
- DeepID2: Deep Learning Face Representation by Joint Identification-Verification [paper]
- DeepID: Deep Learning Face Representation from Predicting 10,000 Classes [paper]
- DeepFace: Closing the gap to human-level performance in face verification [paper]
- LBP+Joint Bayes: Bayesian Face Revisited: A Joint Formulation [paper] [code1] [code2] [code3]
- LBPFace: Face recognition with local binary patterns [paper] [code]
- FisherFace(LDA): Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection [paper] [code]
- EigenFace(PCA): Face recognition using eigenfaces [paper] [code]
🔖Face Detection
- RetinaFace: Single-stage Dense Face Localisation in the Wild [paper] [code]
- Group Sampling for Scale Invariant Face Detection [paper]
- FA-RPN: Floating Region Proposals for Face Detection [paper]
- SFA: Small Faces Attention Face Detector [paper] [code]
- ISRN: Improved Selective Refinement Network for Face Detection [paper]
- DSFD: Dual Shot Face Detector [paper] [code]
- PyramidBox++: High Performance Detector for Finding Tiny Face [paper]
- VIM-FD: Robust and High Performance Face Detector [paper]
- SHF: Robust Face Detection via Learning Small Faces on Hard Images [paper] [code]
- SRN: Selective Refinement Network for High Performance Face Detection [paper]
- SFDet: Single-Shot Scale-Aware Network for Real-Time Face Detection [paper]
- HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition [paper] [code]
- PyramidBox: A Context-assisted Single Shot Face Detector [paper] [code]
- PCN: Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks [paper] [code]
- S³FD: Single Shot Scale-invariant Face Detector [paper] [code]
- SSH: Single Stage Headless Face Detector [paper] [code]
- FaceBoxes: A CPU Real-time Face Detector with High Accuracy [paper][code1] [code2]
- TinyFace: Finding Tiny Faces [paper] [project] [code1] [code2] [code3]
- MTCNN: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks [paper] [project] [code1] [code2] [code3] [code4] [code5] [code6] [code7]
- NPD: A Fast and Accurate Unconstrained Face Detector [paper] [code] [project]
- PICO: Object Detection with Pixel Intensity Comparisons Organized in Decision Trees [paper] [code]
- libfacedetection: A fast binary library for face detection and face landmark detection in images. [code]
- SeetaFaceEngine: SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification [code]
🔖Face Landmark
- DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild [paper]
- AWing: Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression [paper] [code]
- KDN: Face Alignment With Kernel Density Deep Neural Network [paper]
- Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection [paper]
- Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks [paper]
- PFLD: A Practical Facial Landmark Detector [paper] [project] [code]
- PRNet: Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network [paper] [code]
- LAB: Look at Boundary: A Boundary-Aware Face Alignment Algorithm [paper] [project] [code]
- Face-Alignment: How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks) [paper] [project] [code1] [code2]
- ERT: One Millisecond Face Alignment with an Ensemble of Regression Trees [paper] [code]
🔖Face Clustering
- BCL: Video Face Clustering With Unknown Number of Clusters [paper] [code]
- LinkageFace: Linkage Based Face Clustering via Graph Convolution Network [paper]
- LTC: Learning to Cluster Faces on an Affinity Graph [paper] [code]
🔖Face Expression
- FECNet: A Compact Embedding for Facial Expression Similarity [paper] [code]
- LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences [paper]
🔖Face Action
- Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation [paper]
- Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection [paper]
- TCAE: Self-Supervised Representation Learning From Videos for Facial Action Unit Detection [paper] [code]
- JAANet: Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment [paper] [code]
🔖Face 3D
- DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction [paper] [code]
- Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer [paper]
- 3DFC: 3D Face Modeling From Diverse Raw Scan Data [paper] [code]
- 2DASL: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning [paper] [code]
- MVF-Net: Multi-View 3D Face Morphable Model Regression [paper] [code]
- Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders [paper]
- Towards High-Fidelity Nonlinear 3D Face Morphable Model [paper] [project]
- Combining 3D Morphable Models: A Large Scale Face-And-Head Model [paper]
- Disentangled Representation Learning for 3D Face Shape [paper] [code]
- Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking [paper]
- MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction [paper]
- RingNet: Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision [paper] [code] [project]
- Boosting Local Shape Matching for Dense 3D Face Correspondence [paper]
- FML: Face Model Learning From Videos [paper]
🔖Face GAN
Face Character
- Face-to-Parameter Translation for Game Character Auto-Creation [paper]
Face Editing
Face De-Occlusion
Face Aging
- Automatic Face Aging in Videos via Deep Reinforcement Learning [paper] [blog]
- Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks [paper]
- SAGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing [paper] [code]
Face Drawing
- APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs [paper] [code]
Face Generation
- StyleGAN: A Style-Based Generator Architecture for Generative Adversarial Networks [paper] [code] [dataset]
Face Makeup
- BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network [paper] [code] [project] [poster]
Face Swap
- FSGAN: Subject Agnostic Face Swapping and Reenactment [paper] [code] [project]
- Faceswap: A tool that utilizes deep learning to recognize and swap faces in pictures and videos [code1] [code2]
- FUNIT: Few-Shot Unsupervised Image-to-Image Translation [paper] [code] [project]
Face Other
- Unsupervised Face Normalization With Extreme Pose and Expression in the Wild [paper] [code]
- GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction [paper] [project]
- HF-PIM: Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization [paper]
- Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs [paper]
- GANimation: Anatomically-aware Facial Animation from a Single Image [paper] [project] [code]
- StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [paper] [code]
- PGAN: Progressive Growing of GANs for Improved Quality, Stability, and Variation [paper] [code1] [code2]
🔖Face Deblurring
🔖Face Super-Resolution
🔖Face Manipulation
- Make a Face: Towards Arbitrary High Fidelity Face Manipulation [paper]
- 3D Guided Fine-Grained Face Manipulation [paper]
- SemanticComponent: Semantic Component Decomposition for Face Attribute Manipulation [paper] [code] [demo]
🔖Face Anti-Spoofing
- Dataset and Benchmark: A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing [paper] [poster] [dataset]
- Deep Tree Learning for Zero-Shot Face Anti-Spoofing [paper]
🔖Face Adversarial Attack
- Decorrelated Adversarial Learning for Age-Invariant Face Recognition [paper]
- Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection [paper]
- Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition [paper]
🔖Face Cross-Modal
- From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech [paper]
- FRV: Face Reconstruction from Voice using Generative Adversarial Networks [paper] [code] [poster]
- Speech2Face: Learning the Face Behind a Voice [paper] [project]
- JFDFMR: Joint Face Detection and Facial Motion Retargeting for Multiple Faces [paper]
- ATVGnet: Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss [paper] [code]
🔖Face Capture
- High-Quality Face Capture Using Anatomical Muscles [paper]
- Monocular Total Capture: Posing Face, Body, and Hands in the Wild [paper] [code] [project]
- Expressive Body Capture: 3D Hands, Face, and Body From a Single Image [paper] [code] [project]
