ACDMSR: Accelerated conditional diffusion models for single image super-resolution
Diffusion models have gained significant popularity for image-to-image translation tasks.
Previous efforts applying diffusion models to image super-resolution have demonstrated that …
Previous efforts applying diffusion models to image super-resolution have demonstrated that …
Learning from multi-perception features for real-word image super-resolution
Actual image super-resolution is an extremely challenging task due to complex
degradations existing in the image. To solve this problem, two dominant methodologies …
degradations existing in the image. To solve this problem, two dominant methodologies …
Dynamic feature distillation and pyramid split large kernel attention network for lightweight image super-resolution
B Liu, X Ning, S Ma, Y Yang - Multimedia Tools and Applications, 2024 - Springer
With the development of edge intelligent devices such as unmanned aerial vehicles (UAVs),
the demand of for high-resolution (HR) images increase significantly. However, noise and …
the demand of for high-resolution (HR) images increase significantly. However, noise and …
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution
It is well known the adversarial optimization of GAN-based image super-resolution (SR)
methods makes the preceding SR model generate unpleasant and undesirable artifacts …
methods makes the preceding SR model generate unpleasant and undesirable artifacts …
Multi-scale spatial adaptive kernel selection and feature modulation network for lightweight single image super-resolution
B Liu, H Chen, X Ning - 2024 43rd Chinese Control Conference …, 2024 - ieeexplore.ieee.org
Although, numerous methods have proposed to improve the quality and running-time of
single image super-resolution (SR) reconstruction tasks, most of them cannot be deployed …
single image super-resolution (SR) reconstruction tasks, most of them cannot be deployed …