RMSE Cooperative: 1.43RMSE Indoor: 1.42RMSE Outdoor: 1.42
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3D Face Reconstruction
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>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
벤치마크
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Dataset기록된 모델 예시MetricPaperCode
STAR
NME_inter-ocular (%, Full): 2.87NME_inter-ocular (%, Common): 2.52NME_inter-ocular (%, Challenge): 4.32NME_inter-pupil (%, Full): 4.03
논문
코드
HeadSharing: SH-KD
TAR @ FAR=1e-4: 95.64%TAR @ FAR=1e-5: 93.73%TAR @ FAR=1e-6: 90.24%training dataset: MS1M V3
논문
코드
HiFace-f
@nose: 1.036 (±0.280)@mouth: 1.450 (±0.413)@forehead: 1.324 (±0.334)@cheek: 1.291 (±0.362)
논문
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FiFA
NME_diag (%, Full): 0.92NME_diag (%, Frontal): 0.80NME_box (%, Full): 1.31AUC_box@0.07 (%, Full): 81.8
논문
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데이터셋
250개논문
RMSE Cooperative: 1.60RMSE Indoor: 1.61
Average 3D Error: 1.82
RMSE Cooperative: 1.34RMSE Indoor: 1.53
Mean NME : 6.3833%
Average 3D Error: 0.95
Mean NME : 3.7551%
Mean NME : 5.2667%
Average 3D Error: 1.93
Average 3D Error: 1.50
라이브러리
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