Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

mseitzer/pytorch-fid: papers linking to it

GitHub · 3,853 stars · 526 forks · Python · license Apache-2.0 · created 2018 · github.com/mseitzer/pytorch-fid

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to mseitzer/pytorch-fid (https://github.com/mseitzer/pytorch-fid), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

Key findings#

  • 4 papers in the tracked journals link to the GitHub repository mseitzer/pytorch-fid in their Crossref records, the first in 2023; most of them (1) in 2026.
  • By category: AI (4); the journals with the most are International Journal of Computer Vision (2), Neural Computing and Applications (1) and Pattern Recognition (1).

By year#

2023: 1 paper2024: 1 paper2025: 1 paper2026: 1 paper
20232026
Papers linking to mseitzer/pytorch-fid by publication year
YearPapers
20231
20241
20251
20261

Journals#

Journals whose papers link to mseitzer/pytorch-fid most
JournalPapers
International Journal of Computer Vision2
Neural Computing and Applications1
Pattern Recognition1
Papers linking to mseitzer/pytorch-fid, most cited first
PublishedTitleJournalAuthorsCitationsLink
2024-10-25StyleAdapter: A Unified Stylized Image Generation ModelInternational Journal of Computer VisionZhouxia Wang, Xintao Wang, Liangbin Xie et al.29cites it
2023-04-14FontTransformer: Few-shot high-resolution Chinese glyph image synthesis via stacked transformersPattern RecognitionYitian Liu, Zhouhui Lian27cites it
2026-04-28ObjCtrl-2.5D: Training-free Object Control with Camera PosesInternational Journal of Computer VisionZhouxia Wang, Yushi Lan, Shangchen Zhou et al.2cites it
2025-08-04Enhanced deep-style interpreter for automatic synthesis of annotated medical imagesNeural Computing and ApplicationsMarcos Sergio Pacheco dos Santos Lima, Juan Miguel Ortiz-de-Lazcano-Lobato, José David Fernández-Rodríguez et al.0cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). mseitzer/pytorch-fid: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-mseitzer-pytorch-fid

@misc{scholar4ai-code-github-mseitzer-pytorch-fid,
  author = {{Scholar4AI}},
  title = {mseitzer/pytorch-fid: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-mseitzer-pytorch-fid}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).