Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild
Visual place recognition is one of the core modern computer vision tasks concerned with identifying location based on the image taken there. Modern state-of-the-art approaches heavily rely on RGB images which are largely affected by changes in the same ...
Ilia Semenkov +3 more
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Regularised Diffusion–Shock Inpainting
AbstractWe introduce regularised diffusion–shock (RDS) inpainting as a modification of diffusion–shock inpainting from our SSVM 2023 conference paper. RDS inpainting combines two carefully chosen components: homogeneous diffusion and coherence-enhancing shock filtering.
Schaefer, Kristina, Weickert, Joachim
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Mitigating Masked Pixels in a Climate-Critical Ocean Dataset
Clouds and other data artefacts frequently limit the retrieval of key variables from remotely sensed Earth observations. We train a natural language processing (NLP)-inspired algorithm with high-fidelity ocean simulations to accurately reconstruct masked
Angelina Agabin +3 more
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COCO-Inpaint: A Benchmark for Image Inpainting Detection and Manipulation Localization
Recent advancements in image manipulation have achieved unprecedented progress in generating photorealistic content, but also simultaneously eliminating barriers to arbitrary manipulation and editing, raising concerns about multimedia authenticity and cybersecurity.
Haozhen Yan +7 more
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DiffKAN-Inpainting: KAN-Based Diffusion Model for Brain Tumor Inpainting
Brain tumors delay the standard preprocessing workflow for further examination. Brain inpainting offers a viable, although difficult, solution for tumor tissue processing, which is necessary to improve the precision of the diagnosis and treatment. Most conventional U-Net-based generative models, however, often face challenges in capturing the complex ...
Tianli Tao +4 more
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Face inpainting based on edge confrontation combined with hierarchical gated convolution
Aiming at the problems of edge blur and distortion in the current damaged face image inpainting, a two-stage hierarchical gated convolutional network(HGCN) was proposed and then combined with edge adversarial network for face image inpainting.
ZHAI Fengwen +3 more
doaj
Inpainting Radar Missing Data via Denoising Iterative Restoration
The issue of missing radar data has long presented a challenge for meteorologists. Meteorological radars often suffer from data gaps and poor quality due to various factors, such as random partial beam blockage (PBB), instrument malfunctions, or ...
Wei Zhang +4 more
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Classical vs. Machine Learning-Based Inpainting for Enhanced Classification of Remote Sensing Image
Inpainting is a technique that allows for the reconstruction of images and the removal of unnecessary elements. In our research, we employed inpainting to eliminate erroneous lines in the images and examined its abilities in improving classification ...
Aleksandra Sekrecka, Kinga Karwowska
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AI-Driven Adaptive Camouflage Pattern Generation for Helicopter Detection Evasion in Aerial Sensor Imagery Using Fine-Tuned YOLOv8 and Stable Diffusion. [PDF]
Im J, Kim Y, Chun HJ, Kim K.
europepmc +1 more source
Pairwise Comparison-Based Salient Object Ranking Using Multimodal Large Models. [PDF]
Liu Y, Song J, Chen C.
europepmc +1 more source

