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 2024 challenge on image super-resolution (x4): Methods and results
This paper reviews the NTIRE 2024 challenge on image super-resolution (x4) highlighting
the solutions proposed and the outcomes obtained. The challenge involves generating …
the solutions proposed and the outcomes obtained. The challenge involves generating …
Vision transformer adapter for dense predictions
This work investigates a simple yet powerful adapter for Vision Transformer (ViT). Unlike
recent visual transformers that introduce vision-specific inductive biases into their …
recent visual transformers that introduce vision-specific inductive biases into their …
Efficient and explicit modelling of image hierarchies for image restoration
The aim of this paper is to propose a mechanism to efficiently and explicitly model image
hierarchies in the global, regional, and local range for image restoration. To achieve that, we …
hierarchies in the global, regional, and local range for image restoration. To achieve that, we …
Rethinking vision transformers for mobilenet size and speed
With the success of Vision Transformers (ViTs) in computer vision tasks, recent arts try to
optimize the performance and complexity of ViTs to enable efficient deployment on mobile …
optimize the performance and complexity of ViTs to enable efficient deployment on mobile …
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution
Over the past few years, single image super-resolution (SR) has become a hotspot in the
remote sensing area, and numerous methods have made remarkable progress in this …
remote sensing area, and numerous methods have made remarkable progress in this …
Camouflaged object detection with feature decomposition and edge reconstruction
Camouflaged object detection (COD) aims to address the tough issue of identifying
camouflaged objects visually blended into the surrounding backgrounds. COD is a …
camouflaged objects visually blended into the surrounding backgrounds. COD is a …
Srformer: Permuted self-attention for single image super-resolution
Previous works have shown that increasing the window size for Transformer-based image
super-resolution models (eg, SwinIR) can significantly improve the model performance but …
super-resolution models (eg, SwinIR) can significantly improve the model performance but …
NTIRE 2024 challenge on light field image super-resolution: Methods and results
In this report we summarize the 2nd NTIRE challenge on light field (LF) image super-
resolution (SR) with a focus on new methods and results. This challenge aims at super …
resolution (SR) with a focus on new methods and results. This challenge aims at super …
Freeu: Free lunch in diffusion u-net
In this paper we uncover the untapped potential of diffusion U-Net which serves as a" free
lunch" that substantially improves the generation quality on the fly. We initially investigate …
lunch" that substantially improves the generation quality on the fly. We initially investigate …