https://github.com/guppykang/joshFaceV2
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Papers with Code 아카이브
3D Face Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 9
- 보존된 평가 기록
- 94
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/gurushantj/MTCNN
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/gyes00205/waymo_tf_object_detection
https://github.com/haithink/myWindowsDarknet
https://github.com/hakaneroztekin/face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/hamzaMahdi/darknet
https://github.com/hankpark0706/darknet
https://github.com/hantek/SelfAttentiveSentEmbed
https://github.com/hao-qiang/GANimation-tf
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/happy-jihye/Cartoon-StyleGAN
https://github.com/hardik-uppal/CNN-fusion-networks
Two-Level Attention-based Fusion Learning for RGB-D Face Recognition
https://github.com/hashmatshadab/apr
https://github.com/hazdzz/BGU
https://github.com/hcholab/k-salsa
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/healthx-lab/biomedcoop
https://github.com/heathentw/prnet-tf2
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
https://github.com/hectorgie/DeepFaceLab
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/hemanshanand/Facial-Expression-Recognition
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/heorhii-bolotov/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/hggym/pigo
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/hh-xiaohu/Image-augementation-pytorch
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/hhenryd/tap
https://github.com/hhj1897/face_detection
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/hhuaibo/darknet
https://github.com/hisiter97/darknet
https://github.com/hnVfly/pointnet.mxnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/hnmspirit/pointnet1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/hollance/BlazeFace-PyTorch
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/holman57/AI_Emotion_Detection
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
https://github.com/horizontel/aigibench
Generalizable Deepfake Detection via Effective Local-Global Feature Extraction
https://github.com/hqhoangvuong/paperspace_ml_01
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/hqli/face_recognition
https://github.com/hqng/imm-pytorch
Unsupervised Learning of Object Landmarks through Conditional Image Generation
https://github.com/hslrock/TripletLoss_Pytorch
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/huangshenneng/padd_retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/huashen218/multiturncleanup
Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.