Search Results for author: Zhengqiang Zhang

Found 9 papers, 5 papers with code

Improving the Stability of Diffusion Models for Content Consistent Super-Resolution

1 code implementation30 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.

Image Super-Resolution Text-to-Image Generation

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

1 code implementation27 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.

Image Super-Resolution

TMP: Temporal Motion Propagation for Online Video Super-Resolution

1 code implementation15 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.

Video Super-Resolution

Toward Accurate and Temporally Consistent Video Restoration from Raw Data

1 code implementation25 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.

Demosaicking Denoising +2

FakeMix Augmentation Improves Transparent Object Detection

1 code implementation24 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.

Data Augmentation Object +3

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks

no code implementations12 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.

Classification Data Augmentation +3

Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network

no code implementations5 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.

Classification Distance regression +2

Fast and accurate reconstruction of HARDI using a 1D encoder-decoder convolutional network

no code implementations21 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.

Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation

no code implementations29 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.

Segmentation Superpixels +2

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