KGSR: A kernel guided network for real-world blind super-resolution

Q Yan, A Niu, C Wang, W Dong, M Woźniak, Y Zhang - Pattern Recognition, 2024 - Elsevier
In recent years, deep learning-based methods have emerged as dominant players in the
field of super-resolution (SR), owing to their exceptional reconstruction performance. The …

ACDMSR: Accelerated conditional diffusion models for single image super-resolution

A Niu, TX Pham, K Zhang, J Sun, Y Zhu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Diffusion models have gained significant popularity for image-to-image translation tasks.
Previous efforts applying diffusion models to image super-resolution have demonstrated that …

Cross-view Masked Diffusion Transformers for Person Image Synthesis

TX Pham, Z Kang, CD Yoo - arXiv preprint arXiv:2402.01516, 2024 - arxiv.org
We present X-MDPT (Cross-view Masked Diffusion Prediction Transformers), a novel
diffusion model designed for pose-guided human image generation. X-MDPT distinguishes …

Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution

L Peng, Y Cao, R Pei, W Li, J Guo, X Fu… - arXiv preprint arXiv …, 2024 - arxiv.org
Real-SR endeavors to produce high-resolution images with rich details while mitigating the
impact of multiple degradation factors. Although existing methods have achieved impressive …