1k citations · 1.7k across the 17 of their papers we have counts for
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cs.CV2023★ 5 cited
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
Liyan Wang, Qinyu Yang, Cong Wang +3
Recent years have witnessed the remarkable performance of diffusion models in various vision tasks. However, for image restoration that aims to recover clear images with sharper de…
math.OC2023
A New Simple Stochastic Gradient Descent Type Algorithm With Lower Computational Complexity for Bilevel Optimization
Haimei Huo, Risheng Liu, Zhixun Su
Bilevel optimization has been widely used in many machine learning applications such as hyperparameter optimization and meta learning. Recently, many simple stochastic gradient des…
cs.CV2023★ 6 cited
Real-World Denoising via Diffusion Model
Cheng Yang, Lijing Liang, Zhixun Su
Real-world image denoising is an extremely important image processing problem, which aims to recover clean images from noisy images captured in natural environments. In recent year…