EFHQ: Multi-purpose ExtremePose-Face-HQ dataset

arXiv:2312.17205v4 Announce Type: replace
Abstract: The existing facial datasets, while having plentiful images at near frontal views, lack images with extreme head poses, leading to the downgraded performance of deep learning models when dealing with profile or pitched faces. This work aims to address this gap by introducing a novel dataset named Extreme Pose Face High-Quality Dataset (EFHQ), which includes a maximum of 450k high-quality images of faces at extreme poses. To produce such a massive dataset, we utilize a …

abstract arxiv cs.cv dataset datasets deep learning face gap head images near novel performance profile quality type work