Results 21 to 30 of about 20,627 (197)
Hyperrealistic Image Inpainting with Hypergraphs [PDF]
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 Accepted at IEEE Winter Conference on Applications of Computer Vision (WACV ...
Gourav Wadhwa +3 more
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SR-Inpaint: A General Deep Learning Framework for High Resolution Image Inpainting
Algorithms, 2021 Recently, deep learning has enabled a huge leap forward in image inpainting. However, due to the memory and computational limitation, most existing methods are able to handle only low-resolution inputs, typically less than 1 K.
Haoran Xu +7 more
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Multiscale Structure and Texture Feature Fusion for Image Inpainting
IEEE Access, 2022 In order to achieve interaction between structure and texture information in generative adversarial image inpainting networks and improve the semantic veracity of the restored images, unlike the original two-stage inpainting ideas where texture and ...
Lan Li +4 more
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Multi-Scale Generative Adversarial Networks Image Inpainting Algorithm
Jisuanji kexue yu tansuo, 2020 As a research hotspot in the field of deep learning, image inpainting has important significance in people??s real life. Existing image inpainting methods have various problems that cause visual failure to meet people??s requirements.
LI Kewen, ZHANG Wentao, SHAO Mingwen, LI Le
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Inpainting of Cyclic Data using First and Second Order Differences [PDF]
, 2014 Cyclic data arise in various image and signal processing applications such as interferometric synthetic aperture radar, electroencephalogram data analysis, and color image restoration in HSV or LCh spaces.
Bergmann, Ronny, Weinmann, Andreas
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Total Variation Inpainting using Split Bregman
Image Processing On Line, 2012 Given an image where a specified region is unknown, image inpainting or image completion is the problem of inferring the image content in this region.
Pascal Getreuer
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Generative multiview inpainting for object removal in large indoor spaces
International Journal of Advanced Robotic Systems, 2021 As interest in image-based rendering increases, the need for multiview inpainting is emerging. Despite of rapid progresses in single-image inpainting based on deep learning approaches, they have no constraint in obtaining color consistency over multiple ...
Joohyung Kim, Janghun Hyeon, Nakju Doh
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CoRR, 2020 Image inpainting techniques have shown promising improvement with the assistance of generative adversarial networks (GANs) recently. However, most of them often suffered from completed results with unreasonable structure or blurriness. To mitigate this problem, in this paper, we present a one-stage model that utilizes dense combinations of dilated ...
Zheng Hui +3 more
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Image Inpainting Algorithm Based on Conditional Generative Adversarial Network with Spectral Normalization [PDF]
Jisuanji gongcheng, 2021 To solve the problem of large image distortion and uncontrollable discriminative network performance in image inpainting based on Generative Adversarial Network(GAN),this paper proposes a new image inpainting algorithm based on conditional generative ...
LEI Lei, GUO Dongen, JIN Feng
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Variational Framework for Non-Local Inpainting
Image Processing On Line, 2015 Image inpainting aims to obtain a visually plausible image interpolation in a region of the image in which data is missing due to damage or occlusion.
Vadim Fedorov +2 more
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