https://github.com/Phimos/Paddle-PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Papers with Code 아카이브
Face Reconstruction
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Face reconstruction is the task of recovering the facial geometry of a face from an image.
<span style="color:grey; opacity: 0.6">( Image credit: Microsoft Deep3DFaceReconstruction )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/PietroMelzi/GANDiffFace
Synthetic Data for the Mitigation of Demographic Biases in Face Recognition
https://github.com/Podidiving/lgsc-for-fas-pytorch
https://github.com/PolarisAlpha/darknet
https://github.com/PolyArch/fp-diannao
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Popoooo/darknet_test
https://github.com/Porechniy13/FaceReco
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/PowerOfDream/digitx
https://github.com/PrasannaPulakurthi/ProGAN_PyTorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/PrashantRanjan09/Structured-Self-Attentive-Sentence-Embedding
https://github.com/PrashanthaTP/wav2mov
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
https://github.com/Prateek93a/DoodleAI
https://github.com/PuchatekwSzortach/face_detection
Multi-view Face Detection Using Deep Convolutional Neural Networks
https://github.com/Pulkitdzrt/ML-Image-Super-Resolution
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Punakshi/Deep-Residual-Learning-for-Image-Recognition-Implementation
https://github.com/PushpakBhoge/Face_Recognition_TF
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Puzer/stylegan-encoder
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Qengineering/Face-Mask-Detection-Jetson-Nano
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Qengineering/Face-Mask-Detection-Raspberry-Pi-64-bits
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Qengineering/Face-detection-Raspberry-Pi-32-64-bits
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Qengineering/LFFD-MNN-Jetson-Nano
https://github.com/Qengineering/LFFD-MNN-Raspberry-Pi-4
https://github.com/Qengineering/LFFD-ncnn-Jetson-Nano
https://github.com/Qengineering/LFFD-ncnn-Raspberry-Pi-4
https://github.com/QianliM/CAPE
https://github.com/QuocThangNguyen/deep-metric-learning-tsinghua-dogs
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/RAGHAV2998/Everybody-Can-Dance-Now-Video-game-version-
https://github.com/RainbowRui/Landmark-Driven-Facial-Expression-Recognition
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
https://github.com/Raj-08/Deepfake-Detection-Mesonet
https://github.com/Rakshit-Shetty/Resnet-Implementation
https://github.com/Ram81/AC-VAEGAN-PyTorch
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection
https://github.com/Recognito-Vision/Face-SDK-Android-Demo
Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings
https://github.com/Recognito-Vision/Face-SDK-Linux-Demos
Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results
https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection
https://github.com/RezisEwig/esrgan
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.