This study investigates adversarial attacks through the lens of diffusion models, but not for enhancing the adversarial robustness of image classifiers. The focus is on utilizing the diffusion model to…
Continue readingThe article presents ‘Swintormer’, a new model for image deblurring that offers improved performance and lower memory usage. It uses a diffusion model to generate latent prior features, helping to…
Continue readingThe paper proposes two novel models: DI-AEC and FADI-AEC for Acoustic Echo Cancellation (AEC). These models pioneer a diffusion-based stochastic regeneration approach for AEC, with FADI-AEC designed to save computational…
Continue readingThe SonicVisionLM, a novel framework, is designed to generate sound effects for silent videos by leveraging vision language models (VLMs). Instead of creating sound from visual representations, which can be…
Continue readingThe article presents ‘FreeTalker’, a novel framework that generates both spontaneous and non-spontaneous speaker motions, thus improving the naturalness and controllability of talking avatars. Unlike previous models, which only considered…
Continue readingThe article discusses Auffusion, a Text-to-Audio (TTA) system that leverages the power of diffusion models and large language models. Auffusion adapts Text-to-Image (T2I) diffusion models to the TTA task, improving…
Continue readingThe paper introduces CoMoSVC, a consistency model-based Singing Voice Conversion (SVC) method aimed at achieving high-quality generation and high-speed sampling. The authors first design a diffusion-based teacher model specifically for…
Continue readingThe article discusses the development of the Balanced SNR-Aware (BSA) method, a technique designed to improve text-to-audio generation tasks. Diffusion models have shown potential in these tasks, but practical use…
Continue readingThe article presents the Structured Counterfactual Diffuser (SCD), a new framework designed to generate counterfactual explanations for black-box neural network models. Counterfactual explanations are a powerful tool for understanding and…
Continue readingThe MAG-Edit method enables localized image editing in complex scenarios. This training-free, inference-stage optimization method optimizes the noise latent feature in diffusion models by maximizing two mask-based cross-attention constraints of…
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