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Stały URI dla kolekcjihttp://hdl.handle.net/11652/4775
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Pozycja Autoregressive Label-Conditioned Autoencoder for Controllable Image-To-Video Generation(Wydawnictwo Politechniki Łódzkiej, 2023) Kubicki, Kacper; Ślot, KrzysztofGenerating videos from a single image with user-controlled attributes is a complex challenge in the field of computer vision, despite the significant advancements recently made in the field. This paper presents a novel approach to tackle this issue, leveraging a convolutional autoencoder with supervised principal component analysis and autoregressive inference step. The efficacy of the proposed method is evaluated on two datasets – MNIST handwritten-digits and time-lapse photos of the sky. Results from both quantitative and qualitative analyses show that the proposed approach produces high-quality videos of variable duration with user-defined attributes, while preserving the integrity of original image contents.Pozycja A Novel DNN-based Image Watermarking Algorithm(Wydawnictwo Politechniki Łódzkiej, 2023) Kovačević, Slavko; Pavlović, Kosta; Djurović, IgorDNN architecture for image watermarking that balances the tasks of embedding and detecting a watermark is presented. The system consists of two networks: the embedder and the detector. A loss function based on a structural similarity index measure minimizes the difference between the original and watermarked signal. The average SSIM is 0.98 while the accuracy is 99.99%.