{
  "id": 50,
  "url": "https://arxiv.org/abs/2607.10165v1",
  "title": "EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation",
  "summary": "Emotion-aware artistic image generation requires an image to match the input prompt, follow the specified artistic style, and convey the target emotion. In this challenge, the main difficulty is that the visual and affective attributes available in the training data are not explicitly provided at test time. Without these attributes, the generator has to decide not only what to depict, but also how the target emotion should be expressed through color, lighting, brushwork, composition, line, and l",
  "authors": "Dexiang Hong, Yijie Guo, Weidong Chen, Xinyan Liu, Zixuan Zou, Zhendong Mao et al.",
  "category": "research",
  "topics": null,
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-11T07:12:07.000Z",
  "fetched_at": "2026-07-14T14:14:15.665Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/50",
  "original_url": "https://arxiv.org/abs/2607.10165v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}