mlsanityData to 7 Oct 2026

CCR: Facial Image Editing with Continuity, Consistency and Reversibility

arXiv 2209.10734 ↗First posted 22 Sep 2022cs.CV cs.AIcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 30 of its 64 references that are in the map. First posted on arXiv 22 Sep 2022.

Builds on

30 of 64 references.

References · 30

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18 more
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Citing papers per year: 2024: 1; 2025: 1.

2 papers.