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Dr. Pierre Fernandez – Research Scientist @ Meta AI

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.

image watermarking segmentation machine learning watermarking generative models iclr 2025
#19 AI Series: Meta AI - Dr. P. Fernandez
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