The article discusses a proposed system for sound design that extracts repetitive actions from a video, which are used in conjunction with audio or textual embeddings to condition a diffusion…
Continue readingThis paper introduces an all-in-one image restoration network capable of handling multiple image degradations. The proposed system uses a neural degradation representation (NDR) to understand and decompose various types of…
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 paper proposes a new method named SuSIE to improve robotic manipulation in unstructured environments. SuSIE uses an image-editing diffusion model to propose intermediate subgoals that a low-level controller can…
Continue readingThis article presents research into the development of a universal speech enhancement model that can handle diverse input conditions. Existing techniques have shown strong performance but are typically designed for…
Continue readingThe article presents a novel U-Net based deep neural network architecture for denoising phonocardiogram (PCG) signals contaminated by real-world noise. The proposed architecture aims to improve the diagnosis process by…
Continue readingThe article introduces a Unified Speech Enhancement and Editing (uSee) model that uses conditional diffusion models to perform various tasks simultaneously. The model can control the generation of unified speech…
Continue readingThe paper presents MosaicFusion, a data augmentation approach that uses diffusion models for large vocabulary instance segmentation. This method is training-free and does not rely on label supervision. It uses…
Continue readingThis paper introduces Patch-DM, a denoising diffusion model that synthesizes high-resolution images from small-sized patches. The model utilizes a novel “feature collage” strategy to avoid boundary artifacts when creating large…
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