https://github.com/jesse1029/SiGAN
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination
Papers with Code 아카이브
3D Face Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 2
- 보존된 평가 기록
- 3
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jessica3724/Keras_VGG
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/jessiemjones/TF-2.0-Neural-Style-Transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/jfc4050/detect-to-track
https://github.com/jfpettit/flare
https://github.com/jfthuong/photo-organizer
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/jhare96/reinforcement-learning
https://github.com/jhchang/DFDC
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/jiajunhua/facebookresearch-Detectron
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/jiajunhua/tkarras-progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/jiangxingxun/Seeking_Salient_Facial_Region
Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition
https://github.com/jiantenggei/Convolutional-Neural-Network-Hyperparameters-Optimization-for-Facial-Emotion-Recognition
https://github.com/jimheaton/Ultra96_ML_Embedded_Workshop
DenseBox: Unifying Landmark Localization with End to End Object Detection
https://github.com/jimmy0087/faceai-master
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/jingliang-duan/dsac-t
https://github.com/jingyuanz/keras-self-attention-layer
https://github.com/jis478/AniGAN
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
https://github.com/jiweibo/imagenet
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/jixinya/EVP
https://github.com/jjmachan/DeepHash
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/jkvt2/Latent-Pose-Descriptors
https://github.com/jm199504/VGG-NET
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/jmysu/ESP32CAM-FaceDetect-Line-Notify
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/jndeng/DACSDC-DeepZ
https://github.com/jnhwkim/cbp
https://github.com/jnulzl/Pytorch_Retinaface_To_Caffe
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/joaocneves/gan_fingerprint_removal
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
https://github.com/joehoeller/Computer-Vision-Facial-Key-Point-Detection
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/joeynavarro/facial_expression_classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/joheras/darknet-colab
https://github.com/johngear/eecs504
https://github.com/johnnylu305/resnet-50-101-152
https://github.com/jolibrain/caffe
https://github.com/jonasz/progressive_infogan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/jonathandrnd/Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/jonathangiguere/Emotion_Image_Classifier
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.