The article discusses the challenges of protecting image copyright in the context of diffusion models (DMs), which are advanced image synthesis methods. The authors propose a novel technique, Robust Invisible…
Continue readingThe paper introduces ‘FacadeNet’, a deep learning approach for synthesizing images of building facades from various viewpoints. The method uses a conditional Generative Adversarial Network (cGAN) and a novel selective…
Continue readingThis academic paper focuses on the development of a deepfake detection technique that can distinguish between real and fake images. The authors propose a novel approach that utilizes Vision-Language Models…
Continue readingThis paper presents EMIT-Diff, a new method for synthesizing medical image data to enhance medical image segmentation tasks. Leveraging diffusion probabilistic models, the proposed method generates realistic and diverse synthetic…
Continue readingThe article discusses a new method, Robustness-Guided Image Synthesis (RIS), to improve the semantics and diversity of synthetic images used in data-free quantization. Data-free quantization is a model compression technique…
Continue readingThis paper introduces Artistic Cinemagraph, a fully automated method for creating cinemagraphs from text descriptions. The method is especially effective when prompts feature imaginary elements and artistic styles, given the…
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