REALY Dataset

The REALY benchmark aims to introduce a region-aware evaluation pipeline to measure the fine-grained normalized mean square error (NMSE) of 3D face reconstruction methods from under-controlled image sets.

Given the reconstructed mesh from the 2D image in REALY by a specific method, the REALY benchmark calculates the similarity of ground-truth scans on four regions (nose, mouth, forehead, cheek) with the predicted mesh.

REALY基准旨在引入一种区域感知的评估流程，以衡量从受控图像集中3D人脸重建方法的精细粒度归一化均方误差（NMSE）。通过特定方法在REALY中对二维图像重建的网格，该基准计算了四个区域（鼻部、口部、额头、脸颊）上的真实扫描与预测网格的相似度。