Localize, Don't Beautify: Client-Side Control of Image-Editing APIs for Cosmetic Surgery Previews 文章

ArXiv CS.CV2026-08-05PAPERen作者: Sukhrobbek Ilyosbekov

详细信息

来源站点
ArXiv CS.CV
作者
Sukhrobbek Ilyosbekov
文章类型
PAPER
语言
en
发布日期
2026-08-05

摘要

arXiv:2608.02841v1 Announce Type: new Abstract: Ask a commercial image editor to preview a cosmetic procedure and it will often change more of the face than the request names: a nose edit can also smooth skin or alter lighting. Existing methods for confining an edit to one region require access to the model's internals, which a public editing API does not expose. We ask how much control is possible from the client side alone. In a pilot benchmark, six commercial editing configurations and one mask-based inpainting model perform facelift-style jaw-neck and rhinoplasty edits at three levels of client-side control: the prompt alone; cutting the edited region out of the response and pasting it back onto the original photograph through a landmark-derived mask (a masked composite); and asking the model itself to inpaint inside the mask where supported. Of 210 attempted edits, 196 could be scored. ArcFace cosine measures identity preservation;