Low-light image enhancement with wavelet-based diffusion models
Diffusion models have achieved promising results in image restoration tasks, yet suffer from
time-consuming, excessive computational resource consumption, and unstable restoration …
time-consuming, excessive computational resource consumption, and unstable restoration …
Transformer-based generative adversarial networks in computer vision: A comprehensive survey
Generative Adversarial Networks (GANs) have been very successful for synthesizing the
images in a given dataset. The artificially generated images by GANs are very realistic. The …
images in a given dataset. The artificially generated images by GANs are very realistic. The …
A versatile Wavelet-Enhanced CNN-Transformer for improved fluorescence microscopy image restoration
Fluorescence microscopes are indispensable tools for the life science research community.
Nevertheless, the presence of optical component limitations, coupled with the maximum …
Nevertheless, the presence of optical component limitations, coupled with the maximum …
Mutual retinex: Combining transformer and cnn for image enhancement
Images captured in low-light or underwater environments are often accompanied by
significant degradation, which can negatively impact the quality and performance of …
significant degradation, which can negatively impact the quality and performance of …
ULBPNet: Low-light image enhancement using U-shaped lightening back-projection
Images captured under low-light conditions often have various issues, such as low
brightness and contrast, and also color distortion. The aim of low-light image enhancement …
brightness and contrast, and also color distortion. The aim of low-light image enhancement …
TA-GAN: transformer-driven addiction-perception generative adversarial network
The identification of addiction-related brain connections using functional magnetic
resonance imaging (fMRI) is essential for comprehending the mechanisms of addiction …
resonance imaging (fMRI) is essential for comprehending the mechanisms of addiction …
Mvoxti-dnerf: Explicit multi-scale voxel interpolation and temporal encoding network for efficient dynamic neural radiance field
Neural radiance fields have revolutionized the field of novel view synthesis, achieving
remarkable results. However, traditional approaches based on implicit representations …
remarkable results. However, traditional approaches based on implicit representations …
Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning
The latent world model, which efficiently represents high-dimensional observations within a
latent space, has shown promise in reinforcement learning-based policies for visual control …
latent space, has shown promise in reinforcement learning-based policies for visual control …
An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition
The safety monitoring robots have been a potential solution to the task of patrol and
inspection under uncontrolled complex environments such as tunnels. However, unclear …
inspection under uncontrolled complex environments such as tunnels. However, unclear …
Spatio-temporal features representation using recurrent capsules for monaural speech enhancement
Single-channel speech enhancement is important for modern communication systems and
has received a lot of attention. A convolutional neural network (CNN) successfully learns …
has received a lot of attention. A convolutional neural network (CNN) successfully learns …