A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution

1 code implementation • 24 Apr 2024 • Zhixiong Yang, Jingyuan Xia, Shengxi Li, Xinghua Huang, Shuanghui Zhang, Zhen Liu, Yaowen Fu, Yongxiang Liu

This paper proposes an unsupervised kernel estimation model, named dynamic kernel prior (DKP), to realize an unsupervised and pre-training-free learning-based algorithm for solving the BSR problem.

Blind Super-Resolution Image Restoration +1

Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution

1 code implementation • 13 Apr 2023 • Zhuo Su, Jiehua Zhang, Tianpeng Liu, Zhen Liu, Shuanghui Zhang, Matti Pietikäinen, Li Liu

This paper proposes a novel module called middle spectrum grouped convolution (MSGC) for efficient deep convolutional neural networks (DCNNs) with the mechanism of grouped convolution.

Image Classification object-detection +1

A Learning Aided Flexible Gradient Descent Approach to MISO Beamforming

1 code implementation • 21 Jun 2022 • Zhixiong Yang, Jing-Yuan Xia, Junshan Luo, Shuanghui Zhang, Deniz Gündüz

This paper proposes a learning aided gradient descent (LAGD) algorithm to solve the weighted sum rate (WSR) maximization problem for multiple-input single-output (MISO) beamforming.