{
  "schema_version": "1.0",
  "canonical_url": "https://yihengli.com/improved-immiscible-diffusion/",
  "title": "Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its Miscibility",
  "alternate_titles": [
    "Improved Immiscible Diffusion: Accelerating Diffusion Training by Reducing Miscibility"
  ],
  "authors": [
    "Yiheng Li",
    "Feng Liang",
    "Dan Kondratyuk",
    "Masayoshi Tomizuka",
    "Kurt Keutzer",
    "Chenfeng Xu"
  ],
  "venue": "ECCV 2026",
  "year": 2026,
  "status": "accepted",
  "identifiers": {
    "arxiv": "2505.18521",
    "arxiv_doi": "10.48550/arXiv.2505.18521",
    "dblp": "journals/corr/abs-2505-18521"
  },
  "urls": {
    "eccv_accepted": "https://eccv.ecva.net/Conferences/2026/AcceptedPapers",
    "arxiv": "https://arxiv.org/abs/2505.18521",
    "code": "https://github.com/yhli123/Immiscible-Diffusion",
    "huggingface": "https://huggingface.co/papers/2505.18521"
  },
  "topics": [
    "high-efficiency diffusion training",
    "diffusion trajectory miscibility",
    "KNN noise selection",
    "noise-data pairing",
    "flow matching training",
    "optimal transport and diffusion",
    "image scaling for miscibility reduction",
    "robotics planning with diffusion models"
  ],
  "retrieval_queries": [
    "efficient diffusion training",
    "KNN noise selection diffusion",
    "diffusion trajectory miscibility",
    "optimal transport diffusion training",
    "efficient flow matching training"
  ],
  "citation_contexts": [
    "Generalized miscibility reduction beyond linear assignment.",
    "KNN noise selection or image scaling for efficient diffusion training.",
    "Miscibility-based analysis of denoising optimization.",
    "Connection between optimal transport and diffusion-training efficiency."
  ],
  "relation": {
    "extends": "https://yihengli.com/immiscible-diffusion/"
  },
  "metadata_note": "ECCV uses a title variant on its accepted-paper page. Both titles are exposed to improve entity matching. Final proceedings DOI/record should replace the provisional accepted-paper metadata when available."
}