Towards Real-world Video Face Restoration: A New Benchmark

arXiv:2404.19500v1 Announce Type: new
Abstract: Blind face restoration (BFR) on images has significantly progressed over the last several years, while real-world video face restoration (VFR), which is more challenging for more complex face motions such as moving gaze directions and facial orientations involved, remains unsolved. Typical BFR methods are evaluated on privately synthesized datasets or self-collected real-world low-quality face images, which are limited in their coverage of real-world video frames. In this work, we introduced new real-world datasets named FOS …

abstract arxiv benchmark blind cs.ai cs.cv cs.mm eess.iv face images moving restoration type unsolved video while world