https://github.com/jiajunhua/tkarras-progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Papers with Code 아카이브
3D Face Reconstruction
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3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.
<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/jingyuanz/keras-self-attention-layer
https://github.com/jis478/AniGAN
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
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/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/joheras/darknet-colab
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
https://github.com/joonson/yousaidthat
https://github.com/joovvhan/ecapa-tdnn
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/jooyounghun/AI-Team-5
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/jtchen0528/PCL-I2G
https://github.com/jtpils/treegan
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/juergenlandauer/Maya-Challenge
https://github.com/junebeomstics/tff
https://github.com/justinjohn0306/EverybodyDanceNow-Colab
https://github.com/justinshenk/fer
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/justusschock/shape-constrained-network
https://github.com/kabrau/FaceDetection
https://github.com/kagami/go-face
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/kaichengyan/facenet-darknet-pytorch
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/kainoj/keep-pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/kaiyangzhou/on-device-dg
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.