Unmasking the potential: evaluating image inpainting techniques for masked face reconstruction. [PDF]
Multimed Tools Appl, 2023 Agarwal C, Bhatnagar C.
europepmc +1 more source
GRIG: Data-efficient generative residual image inpainting
Computational Visual MediaImage inpainting is the task of filling in missing or masked regions of an image with semantically meaningful content. Recent methods have shown significant improvement in dealing with large missing regions.
Wanglong Lu +7 more
doaj +1 more source
RNON: image inpainting via repair network and optimization network. [PDF]
Int J Mach Learn Cybern, 2023 Chen Y, Xia R, Zou K, Yang K.
europepmc +1 more source
InViT: GAN Inversion-Based Vision Transformer for Blind Image Inpainting
IEEE AccessBlind image inpainting, the task of detecting corrupted regions with diverse patterns within an image and then generating plausible content for the corrupted regions, remains a both challenging and practical problem in computer vision.
Yongqiang Du +3 more
doaj +1 more source
Semi-parametric Image Inpainting
CoRR, 2018 Quick Draw Irregular Mask Dataset (QD-IMD): http://github.com/karfly/qd ...
openaire +2 more sources
Improving the Segmentation Accuracy of Ovarian-Tumor Ultrasound Images Using Image Inpainting. [PDF]
Bioengineering (Basel), 2023 Chen L +7 more
europepmc +1 more source
Tongue Image Texture Classification Based on Image Inpainting and Convolutional Neural Network. [PDF]
Comput Math Methods Med, 2022 Yan J +6 more
europepmc +1 more source
Blind Image Inpainting with Mixture Noise Using ℓ 0 and Total Regularization. [PDF]
Comput Math Methods Med, 2022 Xu X, Geng S.
europepmc +1 more source
A Generative Image Inpainting Model Based on Edge and Feature Self-Arrangement Constraints. [PDF]
Comput Intell Neurosci, 2022 Yao F, Chu Y.
europepmc +1 more source
Facial image inpainting for big data using an effective attention mechanism and a convolutional neural network. [PDF]
Front Neurorobot, 2022 Lu X, Lu R, Zhao W, Ma E.
europepmc +1 more source