{
 "id": "e32/City3D-MultiGen",
 "owner": "e32",
 "name": "City3D-MultiGen",
 "downloads": 42,
 "likes": 0,
 "last_modified": "2026-06-30T05:26:47.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "mixed-code-and-third-party-data",
 "licence_link": "LICENSE",
 "file_licence": "mit",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-to-3d"
 ],
 "citation": "@inproceedings{wang2026gridflow,\n  title     = {GridFlow: Structured Latent Flow for Seamless City-Scale 3D Point Cloud Generation},\n  author    = {Wang, Xinyu and Ibrahim, Muhammad and Mansoor, Atif and Mian, Ajmal},\n  booktitle = {European Conference on Computer Vision (ECCV)},\n  year      = {2026}\n}",
 "signal": "conflict",
 "reason": "The custom licence described in the dataset card and the licence detected in a repository file (mit) fall into different categories, so the licences may conflict.",
 "revision": "02af17a8c0de7335fae91096756d094b757673fe",
 "stated_evidence": "https://huggingface.co/datasets/e32/City3D-MultiGen/blob/02af17a8c0de7335fae91096756d094b757673fe/README.md",
 "file_evidence": "https://huggingface.co/datasets/e32/City3D-MultiGen/blob/02af17a8c0de7335fae91096756d094b757673fe/LICENSE",
 "card_nc": true
}