{
  "id": 14857880,
  "title": "ACEdit: Stable Multi-Turn Image Editing via Asymmetric Conditioning",
  "url": "https://urgent.news/2026/10/15/acedit-stable-multi-turn-image-editing-via-asymmetric-conditioning",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-15T17:52:24.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.22328v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Image editing models produce impressive results for individual edits, but their quality often deteriorates over multiple editing turns. Each editing turn introduces small distribution shifts that accumulate over successive edits, creating a gap between the input distributions encountered during the editor's original training and multi-turn inference. We introduce a training scheme that makes…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}