Efficient neural supersampling on a novel gaming dataset
A Mercier, R Erasmus, Y Savani… - Proceedings of the …, 2023 - openaccess.thecvf.com
Real-time rendering for video games has become increasingly challenging due to the need
for higher resolutions, framerates and photorealism. Supersampling has emerged as an …
for higher resolutions, framerates and photorealism. Supersampling has emerged as an …
Fast On-Device Learning Framework for Single-Image Super-Resolution
SH Lee, K Park, S Cho, HS Lee, K Choi, NI Cho - IEEE Access, 2024 - ieeexplore.ieee.org
When implementing a super-resolution (SR) model on an edge device, it is common to train
the model on a cloud using pre-determined training images. This is due to the lack of large …
the model on a cloud using pre-determined training images. This is due to the lack of large …
Efficient Deep Multi-Image Super-Resolution for low-power devices: performance optimization through fusion and registration techniques
L De Matteis - 2023 - webthesis.biblio.polito.it
Image super-resolution is a well-known problem in computer vision that aims to enhance a
low-resolution image into a high-resolution one. In recent years, deep neural networks have …
low-resolution image into a high-resolution one. In recent years, deep neural networks have …