Results 91 to 100 of about 23,696 (202)
Multi‐stage image inpainting using improved partial convolutions
IET Image ProcessingIn recent years, deep learning models have dramatically influenced image inpainting. However, many existing studies still suffer from over‐smoothed or blurred textures when missing regions are large or contain rich visual details.
Cheng Li, Dan Xu, Hao Zhang
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Enhanced Wavelet Scattering Network for Image Inpainting Detection
ComputationThe rapid advancement of image inpainting tools, especially those aimed at removing artifacts, has made digital image manipulation alarmingly accessible. This paper proposes several innovative ideas for detecting inpainting forgeries based on a low-level
Adrian-Alin Barglazan, Remus Brad
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Lightweight Multi-Scales Feature Diffusion for Image Inpainting Towards Underwater Fish Monitoring
Journal of Marine Science and EngineeringIn the process of gradually upgrading aquaculture to the information and intelligence industries, it is usually necessary to collect images of underwater fish.
Zhuowei Wang +3 more
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Hierarchical Encoding for Image Inpainting with StyleGAN Inversion
Gazi Üniversitesi Fen Bilimleri DergisiImage inpainting, the process of removing unwanted pixels and seamlessly replacing them with new ones, poses significant challenges requiring algorithms to understand image context and generate realistic replacements.
Ayşegül Dündar
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IEEE Access, 2017 This paper addresses the recovery and demixing problem of signals that are sparse in some general dictionary. Involved applications include source separation, image inpainting, super-resolution, and restoration of signals corrupted by clipping ...
Fei Wen +5 more
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Restoration of Simulated EnMAP Data through Sparse Spectral Unmixing
Remote Sensing, 2015 This paper proposes the use of spectral unmixing and sparse reconstruction methods to restore a simulated dataset for the Environmental Mapping and Analysis Program (EnMAP), the forthcoming German spaceborne hyperspectral mission.
Daniele Cerra +4 more
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SatDiff: A Stable Diffusion Framework for Inpainting Very High-Resolution Satellite Imagery
IEEE AccessSatellite image inpainting is a critical task in remote sensing, requiring accurate restoration of missing or occluded regions for reliable image analysis.
Teerapong Panboonyuen +2 more
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Improving Text-Guided Object Inpainting with Semantic Pre-inpainting
Recent years have witnessed the success of large text-to-image diffusion models and their remarkable potential to generate high-quality images. The further pursuit of enhancing the editability of images has sparked significant interest in the downstream task of inpainting a novel object described by a text prompt within a designated region in the image.
Yifu Chen +6 more
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Applied SciencesPaint loss is one of the main forms of deterioration in historical wall paintings, generally restored by the application of chromatic reintegration. In the specific case of outdoor exposed paintings, it is essential to find a binder that will withstand ...
Daniel Jiménez-Desmond +3 more
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Wavelet Based Inpainting Detection
Advances in Artificial Intelligence and Machine LearningWith the advancement in image editing tools, manipulating digital images has become alarmingly easy. Inpainting, which is used to remove objects or fill in parts of an image, serves as a powerful tool for both image restoration and forgery. This paper introduces a novel approach for detecting image inpainting forgeries by combining DT-CWT with ...
Adrian-Alin Barglazan, Remus Brad
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