https://github.com/Hikaylee/SynergyNet
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
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/HongSic/DarknetAI
https://github.com/HongguLiu/MesoNet.Pytorch
https://github.com/HongwenZhang/JVCR-3Dlandmark
https://github.com/Human3DAIGC/AccurateFacialLandmarkDetection
Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection
https://github.com/HyeongJu916/Boaz-SR-ESRGAN-PyTorch
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/IBM/NeuronAlignment
https://github.com/IIGROUP/Multi-Modal-CelebA-HQ-Dataset
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
https://github.com/IIGROUP/TediGAN
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
https://github.com/IMvision12/keras-vision-models
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/IPLI/IPLI_Server
https://github.com/IQTLabs/Pytorch_Retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/IanSullivan/DeepFakeTorch
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/IcedDoggie/Micro-Expression-with-Deep-Learning
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition
https://github.com/IcewineChen/mxnet-batch_hard_triplet_loss
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Ierezell/PapierFewShot
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/IlyaOvodov/AngelinaReader
https://github.com/InterDigitalInc/Latent-Transformer
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/Ipsedo/MusicGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/IsharaSandun/Face-Recognition-using-python
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/IssacCyj/Adversarial-Occlussion-aware-Face-Detection
https://github.com/J-woooo/Mask_Remover
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/JContro/pytorch_projects
https://github.com/JHLee0513/Salt_detection_challenge
https://github.com/JONGSKY/paper
https://github.com/Jagannathrk2020/Face-detection-and-counting-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Jagyan/ghost_radarpoint_detection
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/JaidedAI/EasyOCR
https://github.com/James-Gilbert-/medical-deep-learning
https://github.com/James-Gilbert-/pneumonia-detection
https://github.com/JanFschr/DeepFaceLabTest
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/JanMarcelKezmann/Residual-Network-Architectures
https://github.com/JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Jarr0d/Human-Parsing-Network
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/JaryHuang/awesome_SSD_FPN_GIoU
https://github.com/Javed002/Object_detection_PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.