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.
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https://github.com/thenhz/progressive_growing_of_gan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
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ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/thu-ml/realsafe
RobFR: Benchmarking Adversarial Robustness on Face Recognition
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Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/tiagoCuervo/JapaNet
https://github.com/tianhai123/yolov3
https://github.com/timesler/facenet-pytorch
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/tkuanlun350/Kaggle_Ship_Detection_2018
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/tmdgus1237/HelloWorld2018-2
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RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/tomasjakab/imm
Unsupervised Learning of Object Landmarks through Conditional Image Generation
https://github.com/toufiksk/darknet
https://github.com/towhee-io/towhee
https://github.com/townim-faisal/Revisiting-Pixel-Wise-Supervision-for-Face-Anti-Spoofing
https://github.com/trachpro/arcface-tf2
https://github.com/trachpro/insightFace_v2
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/travismyers19/Vulnerable_Buildings
https://github.com/trongnghia00/darknet
https://github.com/tryolabs/luminoth
https://github.com/trzy/VGG16
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ttruty/facial-feature-mouse-control
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
https://github.com/tueboesen/Active-Learning
Cost-Effective Active Learning for Deep Image Classification
https://github.com/tueboesen/a-optimal-active-learning
Cost-Effective Active Learning for Deep Image Classification
https://github.com/tungdt92/GFA-CNN
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
https://github.com/tuvovan/Zero_DCE_TF
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/tuyentv2009/Face-Recognition-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/twyunting/Deepfake_Video_Classifier
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/u7javed/Image-Enhancer-via-ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/u7javed/Image-Super-Resolution-Enhancer-via-ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/uclaml/Padam
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/udaya2899/deepfake-detection
Exposing DeepFake Videos By Detecting Face Warping Artifacts
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.