Robust watermarking using generative priors against image editing: From benchmarking to advances
Current image watermarking methods are vulnerable to advanced image editing techniques
enabled by large-scale text-to-image models. These models can distort embedded …
enabled by large-scale text-to-image models. These models can distort embedded …
Self-improving diffusion models with synthetic data
The artificial intelligence (AI) world is running out of real data for training increasingly large
generative models, resulting in accelerating pressure to train on synthetic data …
generative models, resulting in accelerating pressure to train on synthetic data …
To Authenticity, and Beyond! Building safe and fair generative AI upon the three pillars of provenance
J Collomosse, A Parsons - IEEE Computer Graphics and …, 2024 - ieeexplore.ieee.org
Provenance facts, such as who made an image and how, can provide valuable context for
users to make trust decisions about visual content. Against a backdrop of inexorable …
users to make trust decisions about visual content. Against a backdrop of inexorable …
Swift: Semantic watermarking for image forgery thwarting
This paper proposes a novel approach towards image authentication and tampering
detection by using watermarking as a communication channel for semantic information. We …
detection by using watermarking as a communication channel for semantic information. We …
Achieving Resolution-Agnostic DNN-based Image Watermarking: A Novel Perspective of Implicit Neural Representation
DNN-based watermarking methods are rapidly developing and delivering impressive
performances. Recent advances achieve resolution-agnostic image watermarking by …
performances. Recent advances achieve resolution-agnostic image watermarking by …
Watermark Anything with Localized Messages
Image watermarking methods are not tailored to handle small watermarked areas. This
restricts applications in real-world scenarios where parts of the image may come from …
restricts applications in real-world scenarios where parts of the image may come from …
InvisMark: Invisible and Robust Watermarking for AI-generated Image Provenance
The proliferation of AI-generated images has intensified the need for robust content
authentication methods. We present InvisMark, a novel watermarking technique designed …
authentication methods. We present InvisMark, a novel watermarking technique designed …
OmniGuard: Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking
With the rapid growth of generative AI and its widespread application in image editing, new
risks have emerged regarding the authenticity and integrity of digital content. Existing …
risks have emerged regarding the authenticity and integrity of digital content. Existing …
DeepSync: Affine Transform Recovery Via Convolutional Neural Networks for Watermark Synchronization
In the context of digital watermarking of images/video, template based techniques rely on the
insertion of a signal template to aid recovery of the watermark after transforms (rotation …
insertion of a signal template to aid recovery of the watermark after transforms (rotation …
Disentangled Style Domain for Implicit -Watermark Towards Copyright Protection
Text-to-image models have shown surprising performance in high-quality image generation,
while also raising intensified concerns about the unauthorized usage of personal dataset in …
while also raising intensified concerns about the unauthorized usage of personal dataset in …