Results 11 to 20 of about 750,933 (209)
Image Super-Resolution Via Iterative Refinement [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 We present SR3, an approach to image Super-Resolution via Repeated Refinement. SR3 adapts denoising diffusion probabilistic models to conditional image generation and performs super-resolution through a stochastic denoising process. Inference starts with pure Gaussian noise and iteratively refines the noisy output using a U-Net model trained on ...
Chitwan Saharia +5 more
semanticscholar +6 more sources
Global-Token U-Net with Hybrid Loss for Trustworthy Medical Image Super-Resolution [PDF]
SensorsSuper-resolution technology significantly enhances the visual quality of low-resolution medical images, resulting in ultra-high-resolution clear images.
Jiaqi Shang, Zhiyuan Xu, Dongdong Wang
doaj +2 more sources
Image Super-Resolution Reconstruction Network Based on Structural Reparameterization and Feature Reuse [PDF]
SensorsIn the task of integrated circuit micrograph acquisition, image super-resolution reconstruction technology can significantly enhance acquisition efficiency.
Tianyu Li +3 more
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Image Super Resolution using Enhanced Super Resolution Generative Adversarial Network [PDF]
ITM Web of Conferences, 2022 Aside from enhancing the accuracy and speed of single picture modification utilizing fast and in-depth convolutional emotional networks, one significant challenge remains mostly commonly unaddressed, namely how do we recover soft texture details when we ...
Sarode Raj +3 more
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Review of Image Super-resolution Reconstruction Algorithms Based on Deep Learning [PDF]
Jisuanji kexue yu tansuo, 2022 The essence of image super-resolution reconstruction technology is to break through the limitation of hardware conditions, and reconstruct a high-resolution image from a low-resolution image which contains less infor-mation through the image super ...
YANG Caidong, LI Chengyang, LI Zhongbo, XIE Yongqiang, SUN Fangwei, QI Jin
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Super-resolution Ultrasound Imaging [PDF]
Ultrasound in Medicine & Biology, 2020 Ultrasound in medicine & biology 46(4), 865-891 (2020).
Christensen-Jeffries, Kirsten +11 more
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Review of Super-Resolution Image Reconstruction Algorithms [PDF]
Jisuanji kexue yu tansuo, 2022 In human visual perception system, high-resolution (HR) image is an important medium to clearly express its spatial structure, detailed features, edge texture and other information, and it has a very wide range of practical value in medicine, criminal ...
ZHONG Mengyuan, JIANG Lin
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Activating More Pixels in Image Super-Resolution Transformer [PDF]
Computer Vision and Pattern Recognition, 2022 Transformer-based methods have shown impressive performance in low-level vision tasks, such as image super-resolution. However, we find that these networks can only utilize a limited spatial range of input information through attribution analysis.
Xiangyu Chen +3 more
semanticscholar +1 more source
Super resolution for root imaging [PDF]
Applications in Plant Sciences, 2020 PremiseHigh‐resolution cameras are very helpful for plant phenotyping as their images enable tasks such as target vs. background discrimination and the measurement and analysis of fine above‐ground plant attributes. However, the acquisition of high‐resolution images of plant roots is more challenging than above‐ground data collection.
Jose F. Ruiz‐Munoz +4 more
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Designing a Practical Degradation Model for Deep Blind Image Super-Resolution [PDF]
IEEE International Conference on Computer Vision, 2021 It is widely acknowledged that single image super-resolution (SISR) methods would not perform well if the assumed degradation model deviates from those in real images.
K. Zhang +3 more
semanticscholar +1 more source