https://github.com/OpenSpaceAI/TI-Face
TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces
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/OpenTalker/SadTalker
https://github.com/PaParaZz1/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/PacktPublishing/Hands-On-Image-Generation-with-TensorFlow-2.0/tree/master/Chapter07
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/PaddlePaddle/PLSC
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/PaddlePaddle/PaddleDetection
https://github.com/PaddlePaddle/PaddleSeg
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Panagiotou/Procedural3DTerrain
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Panagiotou/Random3DTerrain
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Phimos/Paddle-PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/PietroMelzi/GANDiffFace
Synthetic Data for the Mitigation of Demographic Biases in Face Recognition
https://github.com/PolarisAlpha/darknet
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/PushpakBhoge/Face_Recognition_TF
FaceNet: A Unified Embedding for Face Recognition and Clustering
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/Ram81/AC-VAEGAN-PyTorch
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.