116 citations · 284 across the 38 of their papers we have counts for
10 papers · 1 filter
TrustMark: Universal Watermarking for Arbitrary Resolution Images
Tu Bui, Shruti Agarwal, John Collomosse
Imperceptible digital watermarking is important in copyright protection, misinformation prevention, and responsible generative AI. We propose TrustMark - a GAN-based watermarking m…
DECORAIT -- DECentralized Opt-in/out Registry for AI Training
Kar Balan, Alex Black, Simon Jenni +3
We present DECORAIT; a decentralized registry through which content creators may assert their right to opt in or out of AI training as well as receive reward for their contribution…
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
Dan Ruta, Gemma Canet Tarrés, Andrew Gilbert +3
Neural Style Transfer (NST) is the field of study applying neural techniques to modify the artistic appearance of a content image to match the style of a reference style image. Tra…
NeAT: Neural Artistic Tracing for Beautiful Style Transfer
Dan Ruta, Andrew Gilbert, John Collomosse +2
Style transfer is the task of reproducing the semantic contents of a source image in the artistic style of a second target image. In this paper, we present NeAT, a new state-of-the…
EKILA: Synthetic Media Provenance and Attribution for Generative Art
Kar Balan, Shruti Agarwal, Simon Jenni +3
We present EKILA; a decentralized framework that enables creatives to receive recognition and reward for their contributions to generative AI (GenAI). EKILA proposes a robust visua…
RoSteALS: Robust Steganography using Autoencoder Latent Space
Tu Bui, Shruti Agarwal, Ning Yu +1
Data hiding such as steganography and invisible watermarking has important applications in copyright protection, privacy-preserved communication and content provenance. Existing wo…