The Super Bowl LX logo at a press conference at the San Jose Convention Center. Kirby Lee / Imagn Images Deciphering what number Super Bowl it is can be tricky, due to the Roman numerals. But the ...

TL;DR: NVIDIA's RTX Video Super Resolution enhances video quality on platforms like YouTube and Netflix using AI and Tensor Core hardware on GeForce RTX cards. It upscales lower-resolution videos, ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. SRS is a form of coherent Raman scattering that uses two ...

Featured by a bottleneck structure, autoencoder (AE) and its variants have been largely applied in various medical image analysis tasks, such as segmentation, reconstruction and de-noising. Despite of ...

Digital images begin with a fixed number of pixels in a two-dimensional grid. AI super resolution uses machine learning (ML) algorithms to infer from an original image ways that more pixels may be ...

Variational AutoEncoders (VAE) have grown in popularity due to their scalability and computational efficiency. It is widely used in voice modeling, clustering, and data augmentation applications. This ...

Abstract: Due to severe information loss of low-resolution images, the development of single-image super-resolution methods is limited. Recently, the reference-based image super-resolution methods, ...

Abstract: Benefited from the deep learning, image Super-Resolution has been one of the most developing research fields in computer vision. Depending upon whether using a discriminator or not, a deep ...