NTIRE 2023 challenge on efficient super-resolution: Methods and results
This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution
with a focus on the proposed solutions and results. The aim of this challenge is to devise a …
with a focus on the proposed solutions and results. The aim of this challenge is to devise a …
NTIRE 2023 challenge on image super-resolution (x4): Methods and results
This paper reviews the NTIRE 2023 challenge on image super-resolution (x4), focusing on
the proposed solutions and results. The task of image super-resolution (SR) is to generate a …
the proposed solutions and results. The task of image super-resolution (SR) is to generate a …
Efficient deep models for real-time 4k image super-resolution. NTIRE 2023 benchmark and report
This paper introduces a novel benchmark for efficient upscaling as part of the NTIRE 2023
Real-Time Image Super-Resolution (RTSR) Challenge, which aimed to upscale images …
Real-Time Image Super-Resolution (RTSR) Challenge, which aimed to upscale images …
Towards real-time 4k image super-resolution
Over the past few years, high-definition videos and images in 720p (HD), 1080p (FHD), and
4K (UHD) resolution have become standard. While higher resolutions offer improved visual …
4K (UHD) resolution have become standard. While higher resolutions offer improved visual …
Omni aggregation networks for lightweight image super-resolution
While lightweight ViT framework has made tremendous progress in image super-resolution,
its uni-dimensional self-attention modeling, as well as homogeneous aggregation scheme …
its uni-dimensional self-attention modeling, as well as homogeneous aggregation scheme …
Efficient image super-resolution using vast-receptive-field attention
The attention mechanism plays a pivotal role in designing advanced super-resolution (SR)
networks. In this work, we design an efficient SR network by improving the attention …
networks. In this work, we design an efficient SR network by improving the attention …
Efficient and accurate quantized image super-resolution on mobile NPUs, mobile AI & AIM 2022 challenge: report
Image super-resolution is a common task on mobile and IoT devices, where one often needs
to upscale and enhance low-resolution images and video frames. While numerous solutions …
to upscale and enhance low-resolution images and video frames. While numerous solutions …
Essaformer: Efficient transformer for hyperspectral image super-resolution
Single hyperspectral image super-resolution (single-HSI-SR) aims to restore a high-
resolution hyperspectral image from a low-resolution observation. However, the prevailing …
resolution hyperspectral image from a low-resolution observation. However, the prevailing …
Dipnet: Efficiency distillation and iterative pruning for image super-resolution
Efficient deep learning-based approaches have achieved remarkable performance in single
image super-resolution. However, recent studies on efficient super-resolution have mainly …
image super-resolution. However, recent studies on efficient super-resolution have mainly …
Real-time 4k super-resolution of compressed AVIF images. AIS 2024 challenge survey
This paper introduces a novel benchmark for efficient image upscaling as part of the AIS
2024 Real-Time Image Super-Resolution (RTSR) Challenge which aims to upscale …
2024 Real-Time Image Super-Resolution (RTSR) Challenge which aims to upscale …