{
  "id": 793,
  "url": "https://arxiv.org/abs/2606.20506v1",
  "title": "FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining",
  "summary": "Style-content dual-reference generation aims to synthesize an image that preserves the structure and semantics of a content reference while adopting the style of a separate style reference.Despite recent progress, this setting remains challenging because models must balance content fidelity, style alignment, and instruction following avoiding semantic leakage from the style reference.A key bottleneck is the lack of large-scale triplet data with clean content-style separation and broad long-tail ",
  "authors": "Jinghong Lan, Wei Cheng, Yunuo Chen, Ziqi Ye, Peng Xing, Yixiao Fang et al.",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-18T17:24:27.000Z",
  "fetched_at": "2026-07-14T14:14:46.036Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/793",
  "original_url": "https://arxiv.org/abs/2606.20506v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}