{
 "id": "ryogishiki/VfxDB",
 "owner": "ryogishiki",
 "name": "VfxDB",
 "downloads": 156,
 "likes": 0,
 "last_modified": "2026-08-20T00:40:33.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{VfxDB,\nauthor = {Shu, Junwei and Liu, Hantang and Miao, Dawei and Song, Wenzheng and Yuan, Mingyang and Liu, Wenjie and Chen, Changgu and Li, Yang and Wang, Changbo},\ntitle = {VfxDB: A Visual Effects Volume Dataset and Benchmark for VDB-Native Generative Modeling},\nyear = {2026},\nisbn = {9798400725548},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {https://doi.org/10.1145/3799902.3811178},\ndoi = {10.1145/3799902.3811178},\nbooktitle = {Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers},\narticleno = {195},\nnumpages = {11},\nkeywords = {VDB, Visual Effects, Diffusion Generative Model, Machine Learning},\nlocation = {\n},\nseries = {SIGGRAPH Conference Papers '26}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "8b2abbf32854c30ef45b7f518c90f064b541f60f",
 "stated_evidence": "https://huggingface.co/datasets/ryogishiki/VfxDB/blob/8b2abbf32854c30ef45b7f518c90f064b541f60f/README.md",
 "file_evidence": "https://huggingface.co/datasets/ryogishiki/VfxDB/tree/8b2abbf32854c30ef45b7f518c90f064b541f60f",
 "card_nc": false
}