Search Results for author: Zhengqiang Zhang

Found 15 papers, 8 papers with code

Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution

no code implementations12 Jan 2025 Du Chen, Liyi Chen, Zhengqiang Zhang, Lei Zhang

However, directly applying GS to ASR is exceptionally challenging because the original GS is an optimization-based method through overfitting each single scene, while in ASR we aim to learn a single model that can generalize to different images and scaling factors.

Super-Resolution

FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling

1 code implementation24 Oct 2024 Zhengqiang Zhang, Ruihuang Li, Lei Zhang

While image generation with diffusion models has achieved a great success, generating images of higher resolution than the training size remains a challenging task due to the high computational cost.

Image Generation

Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion

1 code implementation19 Oct 2024 Chaodong Xiao, Minghan Li, Zhengqiang Zhang, Deyu Meng, Lei Zhang

Selective state space models (SSMs), such as Mamba, highly excel at capturing long-range dependencies in 1D sequential data, while their applications to 2D vision tasks still face challenges.

Image Classification Mamba +1

SSL: A Self-similarity Loss for Improving Generative Image Super-resolution

1 code implementation11 Aug 2024 Du Chen, Zhengqiang Zhang, Jie Liang, Lei Zhang

Based on the fact that natural images exhibit high self-similarities, i. e., a local patch can have many similar patches to it in the whole image, in this work we propose a simple yet effective self-similarity loss (SSL) to improve the performance of generative Real-ISR models, enhancing the hallucination of structural and textural details while reducing the unpleasant visual artifacts.

Hallucination Image Super-Resolution

Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding

no code implementations13 Jul 2024 Ruihuang Li, Zhengqiang Zhang, Chenhang He, Zhiyuan Ma, Vishal M. Patel, Lei Zhang

Recent vision-language pre-training models have exhibited remarkable generalization ability in zero-shot recognition tasks.

Scene Understanding Zero-Shot Learning

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

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

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

2 code implementations CVPR 2024 Rongyuan Wu, Tao Yang, Lingchen Sun, Zhengqiang Zhang, Shuai Li, Lei Zhang

Owe to the powerful generative priors, the pre-trained text-to-image (T2I) diffusion models have become increasingly popular in solving the real-world image super-resolution problem.

Image Super-Resolution

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 Mirror Detection +4

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

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.

Decoder

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

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

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