Denoising Capability

Denoising capability, the ability of algorithms to remove noise from data, is a crucial area of research across diverse fields, aiming to improve data quality and enable more accurate analysis. Current efforts focus on leveraging the denoising power of diffusion models, often integrated into optimization frameworks or employed in a self-supervised manner, alongside other architectures like implicit neural representations and neural discrete universal denoisers. These advancements are significantly impacting various applications, from image restoration and object detection to seismic data processing and medical imaging, by enhancing the quality and interpretability of noisy data.