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/zineos/blazeface
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/zisianw/FaceBoxes.PyTorch
https://github.com/zj463261929/darknet_mAP
https://github.com/zjjMaiMai/Deep-Alignment-Network-A-convolutional-neural-network-for-robust-face-alignment
Deep Alignment Network: A convolutional neural network for robust face alignment
https://github.com/zkcys001/awesome-Semi-WeakPersonReID
Weakly supervised discriminative feature learning with state information for person identification
https://github.com/zkl20061823/DRML
https://github.com/zrui94/insight_mx
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
https://github.com/zs7779/FAN_AdaptiveWingLoss
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
https://github.com/zsef123/PGGAN-Pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/zuoqing1988/mobile-sphereface-caffe
https://github.com/zveryansky/textvec
Inverse-Category-Frequency based supervised term weighting scheme for text categorization
https://github.com/zyh-uaiaaaa/relative-uncertainty-learning
https://github.com/zzdang/match_fashion
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zzhuolun/IRL
https://github.com/zzzweakman/cvpr24_frcsyn_admis
https://gitlab.com/birder/birder
https://gitlab.com/bsmetsjr/lietorch
https://gitlab.idiap.ch/bob/bob.paper.tbiom2023_edgeface
https://huggingface.co/lion-ai/MedImageInsights
MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.