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Watermark has been widely deployed by industry to detect AI-generated images.
“Robust template matching for affine resistant image watermarks”
Shelby Pereira and Thierry Pun · 2000
Earlier work this paper cites.
“Robust image watermarking based on multiband wavelets and empirical mode decomposition”
Ning Bi et al · 2007
Earlier work this paper cites.
“Combined DWT-DCT digital image watermarking”
Ali Al-Haj · 2007
Earlier work this paper cites.
“Microsoft coco: Common objects in context”
Tsung-Yi Lin et al · 2014
Earlier work this paper cites.
“ImageNet Large Scale Visual Recognition Challenge”
Olga Russakovsky et al · 2015
Earlier work this paper cites.
“Hidden: Hiding data with deep networks”
Jiren Zhu, Russell Kaplan, Justin Johnson and Li Fei-Fei · 2018
Earlier work this paper cites.
“Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning”
Piyush Sharma, Nan Ding, Sebastian Goodman and Radu Soricut · 2018
Earlier work this paper cites.
“UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging”
Chaoning Zhang et al · 2020
Earlier work this paper cites.
“StegaStamp: Invisible Hyperlinks in Physical Photographs”
Matthew Tancik, Ben Mildenhall and Ren Ng · 2020
Earlier work this paper cites.
“Distortion agnostic deep watermarking”
Xiyang Luo et al · 2020
Earlier work this paper cites.
“Denoising Diffusion Probabilistic Models”
Jonathan Ho, Ajay Jain and Pieter Abbeel · 2020
Earlier work this paper cites.
“Improved techniques for training score-based generative models”
Yang Song and Stefano Ermon · 2020
Cited alongside, same era.
“A loss function for generative neural networks based on watson’s perceptual model”
Steffen Czolbe, Oswin Krause, Ingemar Cox and Christian Igel · 2020
Cited alongside, same era.
“Zero-shot text-to-image generation”
Aditya Ramesh et al · 2021
Cited alongside, same era.
“Diffusion Models Beat GANs on Image Synthesis”
Prafulla Dhariwal and Alexander Nichol · 2021
Cited alongside, same era.
“Variational Diffusion Models”
Diederik Kingma, Tim Salimans, Ben Poole and Jonathan Ho · 2021
Cited alongside, same era.
“invisible-watermark”, https://github.com/ShieldMnt/invisible-watermark , 2021
Qingquan Wang · 2021
Cited alongside, same era.
“High-resolution image synthesis with latent diffusion models”
Robin Rombach et al · 2022
Later among the works it cites.
“The Stable Signature: Rooting Watermarks in Latent Diffusion Models”
Pierre Fernandez et al · 2023
Later among the works it cites.
“Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust”
Yuxin Wen, John Kirchenbauer, Jonas Geiping and Tom Goldstein · 2023
Later among the works it cites.
“Evading Watermark based Detection of AI-Generated Content”
Zhengyuan Jiang, Jinghuai Zhang and Neil Gong · 2023
Later among the works it cites.
“Invisible Image Watermarks Are Provably Removable Using Generative AI”
Xuandong Zhao et al · 2023
Later among the works it cites.
“Robustness of ai-image detectors: Fundamental limits and practical attacks”
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“HiNet: Deep Image Hiding by Invertible Network”
Junpeng Jing et al · 2021
Cited alongside, same era.
“stable-diffusion-watermark-decoder”, https://github.com/CompVis/stable-diffusion/blob/main/scripts/tests/test_watermark.py , 2022
Robin Rombach · 2022
Cited alongside, same era.
“Photorealistic text-to-image diffusion models with deep language understanding”
Chitwan Saharia et al · 2022
Cited alongside, same era.
“Cascaded diffusion models for high fidelity image generation”
Jonathan Ho et al · 2022
Cited alongside, same era.
Mehrdad Saberi et al · 2023
Later among the works it cites.
“magic-prompt”, https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts , 2023
Gustavo Santana · 2023
Later among the works it cites.
“Benchmarking the Robustness of Image Watermarks”
Bang An et al · 2024
Closest in time.
“Leveraging optimization for adaptive attacks on image watermarks”
Nils Lukas, Abdulrahman Diaa, Lucas Fenaux and Florian Kerschbaum · 2024
Closest in time.
“torch-vgg”, https://github.com/pytorch/vision/tree/main/references/classification , 2024
Daniel Falbel · 2024
Closest in time.