Papers with Code 아카이브
3D Face Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/gokulprasadthekkel/pytorch-multi-class-focal-loss
https://github.com/google/flax/tree/master/examples/imagenet
https://github.com/google/youtube-8m
https://github.com/gopi-kampli/ImageClusteringDL
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/gouthamvgk/facemesh_coreml_tf
https://github.com/gox-ai/hrnet-pose-api
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/gpleiss/limits_of_large_width
https://github.com/gpspelle/Crowd-Counting
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/greatsharma/DeepLearning-Papers-Implementation
https://github.com/gregoiredervaux/face_recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/grey-eye/talking-heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/griffinbran/machines_best_friend
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/grip-unina/GANimageDetection
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
https://github.com/gscdit/Mood-Analysis
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/gundeep15/SCD_AI_Project
https://github.com/guoqiangqi/PFLD
https://github.com/guppykang/joshFaceV2
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/gurkirt/realtime-action-detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
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/haaz77/keras-tutorials
Very Deep Convolutional Networks for Large-Scale Image Recognition
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/haonanguo/remote-sensing-chatgpt
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/harunshimanto/Neural-Style-Transfer-of-Artistic-Style
Very Deep Convolutional Networks for Large-Scale Image 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/hcygeorge/aoi_defect_detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.