Metric for Evaluating Performance of Reference-Free Demorphing Methods

Nitish Shukla, Arun Ross; Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, 2025, pp. 1670-1676

A facial morph is an image created by combining two (or more) face images pertaining to two (or more) distinct identities. Reference-free face demorphing inverts the process and tries to recover the face images constituting a facial morph without using any other information. However there is no consensus on the evaluation metrics to be used to evaluate and compare such demorphing techniques. In this paper we first analyse the shortcomings of the demorphing metrics currently used in the literature. We then propose a new metric that overcomes the issues and extensively benchmark current methods on the proposed metric to show its efficacy. Experiments on three existing demorphing methods and six datasets on two commonly used face matchers validate the efficacy of our proposed metric.