https://github.com/sw-gong/spiralnet_plus
4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications
Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 25
- 평가표
- 0
- 보존된 평가 기록
- 0
Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/swayanshu/Deep-Fake-Detection
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
https://github.com/swghosh/DeepFace
https://github.com/t-ae/progan-s4tf
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/taekwan-lee/Virtual-Softmax-TF
https://github.com/tahasamavati/facial_expression_recognition_cnn
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/takhemlata/ssl_anti-spoofing
https://github.com/takiyu/hyperface
https://github.com/tallysprado/myDarknet
https://github.com/tamerthamoqa/facenet-pytorch-glint360k
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/tamnil/esp32-xtensa-study
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/tanmaysingha/2D-3D-FAN
https://github.com/taotaonice/FaceShifter
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/tarun-98/COMP8240_Project_GroupG
Facial Motion Prior Networks for Facial Expression Recognition
https://github.com/taylorlu/ghostvlad-speaker
https://github.com/tbmoon/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/teemoeric/projet
https://github.com/tejaswigowda/semseg-pytorch
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/tencentarc/opencompatible
Towards Universal Backward-Compatible Representation Learning
https://github.com/tensorflow/models
https://github.com/text-machine-lab/transformerpy
https://github.com/textvec/textvec
Inverse-Category-Frequency based supervised term weighting scheme for text categorization
https://github.com/tg-bomze/Face-Depixelizer
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/tgeorgy/mgan
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/thanhhungqb/pyramid-super-resolution
https://github.com/thearod5/calorie-predictor
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
https://github.com/thenhz/progressive_growing_of_gan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/thepowerfuldeez/facemesh.pytorch
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
https://github.com/thongdk8/realtime-facereccpp
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/thu-ml/realsafe
RobFR: Benchmarking Adversarial Robustness on Face Recognition
https://github.com/tianhai123/yolov3
https://github.com/timesler/facenet-pytorch
https://github.com/timsainb/GAIA
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/tkuanlun350/Kaggle_Ship_Detection_2018
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/tmdgus1237/HelloWorld2018-2
https://github.com/tomas-gajarsky/facetorch
RetinaFace: Single-stage Dense Face Localisation in the Wild
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.