1 code implementation • 30 Dec 2023 • Lingchen Sun, Rongyuan Wu, Zhengqiang Zhang, Hongwei Yong, Lei Zhang
To improve the stability of diffusion prior-based SR, we propose to employ the diffusion models to refine image structures, while employing the generative adversarial training to enhance image fine details.
1 code implementation • 27 Nov 2023 • Rongyuan Wu, Tao Yang, Lingchen Sun, Zhengqiang Zhang, Shuai Li, Lei Zhang
First, we train a degradation-aware prompt extractor, which can generate accurate soft and hard semantic prompts even under strong degradation.
1 code implementation • 15 Dec 2023 • Zhengqiang Zhang, Ruihuang Li, Shi Guo, Yang Cao, Lei Zhang
Online video super-resolution (online-VSR) highly relies on an effective alignment module to aggregate temporal information, while the strict latency requirement makes accurate and efficient alignment very challenging.
1 code implementation • 25 Dec 2023 • Shi Guo, jianqi ma, Xi Yang, Zhengqiang Zhang, Lei Zhang
Extensive experiments demonstrate the leading VJDD performance of our method in term of restoration accuracy, perceptual quality and temporal consistency.
1 code implementation • 24 Mar 2021 • Yang Cao, Zhengqiang Zhang, Enze Xie, Qibin Hou, Kai Zhao, Xiangui Luo, Jian Tuo
However, these methods usually encounter boundary-related imbalance problem, leading to limited generation capability.
no code implementations • 12 Nov 2018 • Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to the kidneys' varied shapes and image intensity distributions, although semi-automatic methods have achieved promising performance.
no code implementations • 5 Jan 2019 • Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan
It remains challenging to automatically segment kidneys in clinical ultrasound images due to the kidneys' varied shapes and image intensity distributions, although semi-automatic methods have achieved promising performance.
no code implementations • 21 Mar 2019 • Shi Yin, Zhengqiang Zhang, Qinmu Peng, Xinge You
High angular resolution diffusion imaging (HARDI) demands a lager amount of data measurements compared to diffusion tensor imaging, restricting its use in practice.
no code implementations • 29 May 2019 • Zhengqiang Zhang, Shujian Yu, Shi Yin, Qinmu Peng, Xinge You
Weakly-supervised semantic segmentation aims to assign each pixel a semantic category under weak supervisions, such as image-level tags.