  Three problems exist in sequential facial image editing: incontinuous
editing, inconsistent editing, and irreversible editing. Incontinuous editing
is that the current editing can not retain the previously edited attributes.
Inconsistent editing is that swapping the attribute editing orders can not
yield the same results. Irreversible editing means that operating on a facial
image is irreversible, especially in sequential facial image editing. In this
work, we put forward three concepts and corresponding definitions: editing
continuity, consistency, and reversibility. Then, we propose a novel model to
achieve the goal of editing continuity, consistency, and reversibility. A
sufficient criterion is defined to determine whether a model is continuous,
consistent, and reversible. Extensive qualitative and quantitative experimental
results validate our proposed model and show that a continuous, consistent and
reversible editing model has a more flexible editing function while preserving
facial identity. Furthermore, we think that our proposed definitions and model
will have wide and promising applications in multimedia processing. Code and
data are available at https://github.com/mickoluan/CCR.
