https://github.com/VaanHUANG/CSCI5210HW1
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/Vakihito/SentimentYoutube
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Vamshi399/CarND-Vehicle-Detection
https://github.com/VamsiKrishna1211/gender_age-detection
https://github.com/VedantDere0104/Progressive_Growing_of_GANs
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/VedantDere0104/StyleGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/VhalPurohit/290s
https://github.com/VigneshS10/Segmentation-VGG19
https://github.com/Vill-Lab/2023-TIFS-DTIBA
FastReID: A Pytorch Toolbox for General Instance Re-identification
https://github.com/Vill-Lab/2024-TIP-MetaPrompt
https://github.com/VinayBN8997/ResNet-CIFAR10
https://github.com/Vishal-V/GSoC-TensorFlow-2019/blob/master/face_app/model.py
https://github.com/Vishwesh4/Face-Feature-Extraction
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
https://github.com/VisiumCH/AMLD2020-Dirty-Gancing
https://github.com/ViswanathaReddyGajjala/EfficientNet-RetinaNet
https://github.com/Viveksbawa/SARAS-ESAD-Baseline
https://github.com/Vivswan/ECE-3195-Course-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/VladAndronik/face_swap
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/WangChen0902/MTCNN-Paddle
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/WangChen0902/RetinaFace-Paddle
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/WangYueFt/dgcnn
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Wangxy2180/darknetKinectDetect
https://github.com/Wastoon/TSAL
Teacher-Student Asynchronous Learning with Multi-Source Consistency for Facial Landmark Detection
https://github.com/WeiHongLee/Learning-to-impute
Learning to Impute: A General Framework for Semi-supervised Learning
https://github.com/WeidiXie/Keras-VGGFace2-ResNet50
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/Weijian-li/unsupervised_inter_intra_landmark
Structured Landmark Detection via Topology-Adapting Deep Graph Learning
https://github.com/WhiTExB3AR/Emotion_Diary
Facial Motion Prior Networks for Facial Expression Recognition
https://github.com/WhiTExB3AR/PreProduceCode-FMPN-FER
Facial Motion Prior Networks for Facial Expression Recognition
https://github.com/Windrill/Scenery-Video-GANs
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/Windrill/small-scene-video-GAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/XgTu/2DASL
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
https://github.com/XgTu/2DASL-CNN
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
https://github.com/XiaXuehai/faceboxes
https://github.com/Xnsam/clothing_classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/XuRen20/deepface
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/XuyangBai/D3Feat
Circle Loss: A Unified Perspective of Pair Similarity Optimization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.