https://github.com/Weijian-li/unsupervised_inter_intra_landmark
Structured Landmark Detection via Topology-Adapting Deep Graph Learning
Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/WhiTExB3AR/Emotion_Diary
Facial Motion Prior Networks for Facial Expression Recognition
https://github.com/WhiTExB3AR/PreProduceCode-FMPN-FER
Facial Motion Prior Networks for Facial Expression Recognition
https://github.com/Windrill/Scenery-Video-GANs
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Windrill/small-scene-video-GAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/XgTu/2DASL
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
https://github.com/XgTu/2DASL-CNN
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
https://github.com/XiaXuehai/faceboxes
https://github.com/Xnsam/clothing_classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/XuRen20/deepface
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/XuyangBai/D3Feat
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/YIZHE12/fashiontags
https://github.com/YIZHE12/robots
https://github.com/Yang-Q-D/mindsporeCode/tree/master/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/YangYongJin/APEX
https://github.com/YanyingZH/srgan-esrgan-pytorch
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Yashgh7076/CPSC-8810-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Yashgh7076/Eluvio-ML-Scene-Segmentation
https://github.com/Yijunmaverick/GenerativeFaceCompletion
https://github.com/Yonder-OSS/D3M-Primitives
https://github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices
https://github.com/YuanxunLu/LiveSpeechPortraits
Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation
https://github.com/YudeWang/UNet-Satellite-Image-Segmentation
https://github.com/YutingZhang/lmdis-rep
Unsupervised Discovery of Object Landmarks as Structural Representations
https://github.com/YuvalNirkin/face_video_segment
https://github.com/YvanG/VQGAN-CLIP
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/ZBigFish/FER-VT
https://github.com/ZHANG-SHI-CHANG/Pytorch_Retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/ZTao-z/multiflow-resnet-ssd
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ZVK/Talking-Heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/ZVK/talking_heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/ZacharyGoshen/cifar-10-classifier
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Zachdr1/CNNs
https://github.com/Ze-Yang/Context-Transformer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Zhachory1/MusicNST
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ZhaoJ9014/face.evoLVe
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.