Abstract: Invisible image watermarking embeds information into image pixels in a way that remains imperceptible to the human eye but can still be retrieved even after significant image editing. In this talk, after a brief introduction to image watermarking, we’ll explore an approach designed to tackle this issue. Watermark Anything (ICLR 2025) reframes image watermarking as a segmentation problem. We’ll walk through the motivation behind this idea, how we developed and trained the model, the challenges we faced, and the final results. Duration approximately 45 minutes.
talk-data.com
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Speaker
Dr. Pierre Fernandez
1
talks
Research Scientist
Meta AI
Research Scientist at FAIR Paris (the Fundamental AI Research lab at Meta). His research focuses on content protection and safety in machine learning, with a particular interest in watermarking generative models. He co-authored Dinov2. He completed his PhD at FAIR and Inria Rennes; studied at École Polytechnique.
Bio from: #19 AI Series: Meta AI - Dr. P. Fernandez
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