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ProMark: Proactive Diffusion Watermarking for Causal Attribution
March 18, 2024, 4:44 a.m. | Vishal Asnani, John Collomosse, Tu Bui, Xiaoming Liu, Shruti Agarwal
cs.CV updates on arXiv.org arxiv.org
Abstract: Generative AI (GenAI) is transforming creative workflows through the capability to synthesize and manipulate images via high-level prompts. Yet creatives are not well supported to receive recognition or reward for the use of their content in GenAI training. To this end, we propose ProMark, a causal attribution technique to attribute a synthetically generated image to its training data concepts like objects, motifs, templates, artists, or styles. The concept information is proactively embedded into the input …
abstract arxiv attribution capability causal creative creatives cs.cv diffusion genai generative images prompts recognition through training type via watermarking workflows
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