https://github.com/AndreasWieg/PC-PGGAN
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/AndreiMoraru123/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Andribi/A2MF_AP
https://github.com/AngeloManzatto/FacialKeypoints
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/Anil1331/Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AnjanaGJoseph/Super-Resolution-GAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Anuranjan-Kumar/Face-Detection
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/ArMaxik/Progressive_growing_of_GANs-Pytorch_implementation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Armxyz1/Results-on-RFW
https://github.com/Arneli/image-generator-for-BScThesis
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
https://github.com/Arpan-Mishra/Selfie-Filter-Project
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/ArsenalCheng/Meta-Adapter
https://github.com/ArturPrzybysz/MNIST-siamese
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ArturPrzybysz/siamese-CNN-cat-vs-dogs
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Aruie/Aru_StyleGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Aryan05/Generative-Modelling-of-Images-from-Speech_Speech2Face
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
https://github.com/Ash-Lee233/PGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Ashigarg123/ShiftySpeech
https://github.com/AshikaAnand12/FaceManipulation
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
https://github.com/Ashish013/FaceNet_TF-2.0
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Asthestarsfalll/LightCNN-MegEngine
https://github.com/AswillHatter/Sondi1
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AswillHatter/Union
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Atcold/torch-TripletEmbedding
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/AtlasCoCo/Darknet
https://github.com/Avditvs/proGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Ayoob7/facenet-face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/BFD91/facial-beauty-rating-tinder-bot
SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction
https://github.com/BPMJG/annotated_pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/BR-IDL/PaddleViT/tree/develop/image_classification/RepMLP
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/BZstat/Attendance-AI
https://github.com/Baukebrenninkmeijer/HackGAN
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/BearNinja123/esrGAN_vBearNinja123
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/BeefMILF/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Bennie-Han/Image-augementation-pytorch
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/BiDAlab/DeepFakesON-Phys
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.