Abstract: The rapid growth of generative models has led to a new direction in steganography called generative steganography (GS). It allows message-to-image generation without the need for a carrier ...
Abstract: Latent Diffusion Models have emerged as an efficient alternative to conventional diffusion approaches by compressing high-dimensional images into a lower-dimensional latent space using a ...
We survey a systematic taxonomy of information diffusion tasks and datasets based on the "5W Model" framework. We categorize the information diffusion tasks into ten subtasks with definitions, ...
We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...
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