Diffusion models, image super-resolution, and everything: A survey
Diffusion models (DMs) have disrupted the image super-resolution (SR) field and further
closed the gap between image quality and human perceptual preferences. They are easy to …
closed the gap between image quality and human perceptual preferences. They are easy to …
Zero-shot image restoration using denoising diffusion null-space model
Most existing Image Restoration (IR) models are task-specific, which can not be generalized
to different degradation operators. In this work, we propose the Denoising Diffusion Null …
to different degradation operators. In this work, we propose the Denoising Diffusion Null …
A review of GAN-based super-resolution reconstruction for optical remote sensing images
X Wang, L Sun, A Chehri, Y Song - Remote Sensing, 2023 - mdpi.com
High-resolution images have a wide range of applications in image compression, remote
sensing, medical imaging, public safety, and other fields. The primary objective of super …
sensing, medical imaging, public safety, and other fields. The primary objective of super …
Diffusion model-based image editing: A survey
Denoising diffusion models have emerged as a powerful tool for various image generation
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …
Unlimited-size diffusion restoration
Recently, using diffusion models for zero-shot image restoration (IR) has become a new hot
paradigm. This type of method only needs to use the pre-trained off-the-shelf diffusion …
paradigm. This type of method only needs to use the pre-trained off-the-shelf diffusion …
Dear-gan: Degradation-aware face restoration with gan prior
With the development of generative adversarial networks (GANs), recent face restoration
(FR) methods often utilize pre-trained GAN models (ie,, StyleGAN2) as prior to generate rich …
(FR) methods often utilize pre-trained GAN models (ie,, StyleGAN2) as prior to generate rich …
OPDN: Omnidirectional position-aware deformable network for omnidirectional image super-resolution
Abstract 360deg omnidirectional images have gained research attention due to their
immersive and interactive experience, particularly in AR/VR applications. However, they …
immersive and interactive experience, particularly in AR/VR applications. However, they …
Omnissr: Zero-shot omnidirectional image super-resolution using stable diffusion model
Omnidirectional images (ODIs) are commonly used in real-world visual tasks, and high-
resolution ODIs help improve the performance of related visual tasks. Most existing super …
resolution ODIs help improve the performance of related visual tasks. Most existing super …
Diffusion models for audio semantic communication
Directly sending audio signals from a transmitter to a receiver across a noisy channel may
absorb consistent bandwidth and be prone to errors when trying to recover the transmitted …
absorb consistent bandwidth and be prone to errors when trying to recover the transmitted …
Pirn: Phase invariant reconstruction network for infrared image super-resolution
Single image super-resolution (SR) reconstruction plays a crucial role in various fields,
including surveillance and remote sensing. However, the majority of available SR …
including surveillance and remote sensing. However, the majority of available SR …