Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). ARWGAN: Attention-Guided Robust Image Watermarking Model Based on GAN. Retrieved May 24, 2026, from https://4ort.xyz/entity/arwgan-attention-guided-robust-image-watermarking-model-based-on-gan
MLA“ARWGAN: Attention-Guided Robust Image Watermarking Model Based on GAN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/arwgan-attention-guided-robust-image-watermarking-model-based-on-gan.
BibTeX@misc{4ortxyz_arwgan-attention-guided-robust-image-watermarking-model-based-on-gan_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ARWGAN: Attention-Guided Robust Image Watermarking Model Based on GAN}}, year = {2026}, url = {https://4ort.xyz/entity/arwgan-attention-guided-robust-image-watermarking-model-based-on-gan}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ARWGAN: Attention-Guided Robust Image Watermarking Model Based on GAN — https://4ort.xyz/entity/arwgan-attention-guided-robust-image-watermarking-model-based-on-gan (retrieved 2026-05-24)