Results 51 to 60 of about 20,627 (197)
IRL-Net: Inpainted Region Localization Network via Spatial Attention
IEEE Access, 2023 Identifying manipulated regions in images is a challenging task due to the existence of very accurate image inpainting techniques leaving almost unnoticeable traces in tampered regions.
Amir Etefaghi Daryani +5 more
doaj +1 more source
High Voltage, EarlyView.ABSTRACT Infrared and visible image registration is a key task in automated distribution network inspection. Previous approaches typically apply a single homography to align infrared and visible images leading to local misalignment. To address this, this study proposes a novel region‐based registration algorithm specifically designed for wide‐depth ...
Yingchen Zhang, Bo Wang, Fei Tang
wiley +1 more source
An Algorithm for Total Variation Inpainting Based on Nonlinear Multi-Grid Methods
Journal of Algorithms & Computational Technology, 2008 Image inpainting refers to restoring a damaged image with missing information. The total variation (TV) inpainting model is one such method that simultaneously fills in the regions with available information from their surroundings and eliminates noises.
Chen Fei, Wang Mei-Qing, Lai Choi-Hong
doaj +1 more source
Image Structure-Induced Semantic Pyramid Network for Inpainting
Applied Sciences, 2023 The existing deep-learning-based image inpainting algorithms often suffer from local structure disconnections and blurring when dealing with large irregular defective images.
Rong Huang, Yuhui Zheng
doaj +1 more source
Large Scale Variational Bayesian Inference for Structured Scale Mixture Models [PDF]
, 2012 Natural image statistics exhibit hierarchical dependencies across multiple scales. Representing such prior knowledge in non-factorial latent tree models can boost performance of image denoising, inpainting, deconvolution or reconstruction substantially ...
Ko, Young Jun, Seeger, Matthias
core +2 more sources
Sobolev gradients and image interpolation
, 2012 We present here a new image inpainting algorithm based on the Sobolev gradient method in conjunction with the Navier-Stokes model. The original model of Bertalmio et al is reformulated as a variational principle based on the minimization of a well chosen
Danaila, Ionut, Kazemi, Parimah
core +1 more source
Controllable Semantic Image Inpainting
CoRR, 2018 We develop a method for user-controllable semantic image inpainting: Given an arbitrary set of observed pixels, the unobserved pixels can be imputed in a user-controllable range of possibilities, each of which is semantically coherent and locally consistent with the observed pixels.
Jin Xu 0011, Yee Whye Teh
openaire +2 more sources
Splatshop: Efficiently Editing Large Gaussian Splat Models
Computer Graphics Forum, EarlyView.Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz +5 more
wiley +1 more source
, 2015 In this paper we consider denoising and inpainting problems for higher dimensional combined cyclic and linear space valued data. These kind of data appear when dealing with nonlinear color spaces such as HSV, and they can be obtained by changing the ...
Bergmann, Ronny, Weinmann, Andreas
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Image‐Based Spatio‐Temporal Interpolation for Split Rendering
Computer Graphics Forum, EarlyView.Abstract Low‐powered devices – such as small form factor head‐mounted displays (HMDs) – struggle to deliver a smooth and high‐quality viewing experience, due to their limited power and rendering capabilities. Cloud rendering attempts to solve the quality issue, but leads to prohibitive latency and bandwidth requirements, hindering use with HMDs over ...
M. Steiner +4 more
wiley +1 more source