DLSS 4's upgraded Transformer-based AI Super Resolution has exited Beta, which means we'll start seeing it arrive in a lot more games.

We investigate a novel approach to approximate tensor-network contraction via the exact, matrix-free decomposition of full tensor-networks. We study this method as a means to eliminate the propagat ...

Low-rank tensor completion (LRTC), which aims to complete missing entries from tensors with partially observed terms by utilizing the low-rank structure of tensors, has been widely used in various ...

Conversely, traditional iterative optimization algorithms are built upon sound mathematical derivations. To combine the advantages of both approaches, we propose a spectral transformer network, termed ...

As part of his recent study, Adeel developed a new transformer model that can emulate human perceptual reasoning and imaginative states. This model works by pre-selecting relevant information and ...

Transformer-based deep learning model for integrated pathomics and radiomics in predicting postoperative survival of intrahepatic cholangiocarcinoma patients.. If you have the appropriate software ...

DETRPose is the first real-time end-to-end transformer model for multi-person pose estimation, achieving outstanding results on the COCO and CrowdPose datasets. In this work, we propose a new ...

The neural network quantum state (NNQS) method has demonstrated promising results in ab initio quantum chemistry, achieving remarkable accuracy in molecular systems. However, efficient calculation of ...