SourceThe cases citing it, and what each argues, are listed below.
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
arXiv.org12 Dec 2022
- Source type
- Academic Paper
- Published
- 12 Dec 2022
- Added by
- PsamiKoinovera team
- Added
- 6 Oct 2026
Contributor evidence
What this source establishes
Analyses replication of training images and identifies training-data duplication as a contributing factor. Supports the technical possibility of near-copy outputs.
Limitations
Similarity is not a legal infringement test; sampled models and datasets.
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