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Attention mechanisms in computer vision: A survey
Humans can naturally and effectively find salient regions in complex scenes. Motivated by
this observation, attention mechanisms were introduced into computer vision with the aim of …
this observation, attention mechanisms were introduced into computer vision with the aim of …
A comprehensive review on deep learning based remote sensing image super-resolution methods
Satellite imageries are an important geoinformation source for different applications in the
Earth Science field. However, due to the limitation of the optic and sensor technologies and …
Earth Science field. However, due to the limitation of the optic and sensor technologies and …
Dual aggregation transformer for image super-resolution
Transformer has recently gained considerable popularity in low-level vision tasks, including
image super-resolution (SR). These networks utilize self-attention along different …
image super-resolution (SR). These networks utilize self-attention along different …
Mambair: A simple baseline for image restoration with state-space model
Recent years have seen significant advancements in image restoration, largely attributed to
the development of modern deep neural networks, such as CNNs and Transformers …
the development of modern deep neural networks, such as CNNs and Transformers …
Exploiting diffusion prior for real-world image super-resolution
We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-
to-image diffusion models for blind super-resolution. Specifically, by employing our time …
to-image diffusion models for blind super-resolution. Specifically, by employing our time …
Diffir: Efficient diffusion model for image restoration
Diffusion model (DM) has achieved SOTA performance by modeling the image synthesis
process into a sequential application of a denoising network. However, different from image …
process into a sequential application of a denoising network. However, different from image …
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 …
Towards universal fake image detectors that generalize across generative models
With generative models proliferating at a rapid rate, there is a growing need for general
purpose fake image detectors. In this work, we first show that the existing paradigm, which …
purpose fake image detectors. In this work, we first show that the existing paradigm, which …
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 …
Seesr: Towards semantics-aware real-world image super-resolution
Owe to the powerful generative priors the pre-trained text-to-image (T2I) diffusion models
have become increasingly popular in solving the real-world image super-resolution …
have become increasingly popular in solving the real-world image super-resolution …