A dataset for voice and 3D face structure study. It contains about 1.4K identities with their 3D face models and voice data. 3D face models are fitted from VGGFace using BFM 3D models, and voice data are processed from Voxceleb
1 PAPER • 1 BENCHMARK
CoMA contains 17,794 meshes of the human face in various expressions
75 PAPERS • 1 BENCHMARK
…The dataset is well-balanced over a wide range of poses, face expressions, and occlusions.
3 PAPERS • NO BENCHMARKS YET
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
22 PAPERS • 2 BENCHMARKS
The goal of this benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods under variations in viewing angle, lighting, and common
26 PAPERS • 1 BENCHMARK
…The dense dynamic face scans were acquired at 25 frames per second and the RMS error in the 3D reconstruction is about 0.5 mm.
5 PAPERS • 1 BENCHMARK