Perceptual artifacts localization for image synthesis tasks

L Zhang, Z Xu, C Barnes, Y Zhou… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recent advancements in deep generative models have facilitated the creation of photo-
realistic images across various tasks. However, these generated images often exhibit …

Review of Deep Learning-Based Image Inpainting Techniques

J Yang, NIR Ruhaiyem - IEEE Access, 2024 - ieeexplore.ieee.org
The deep learning-based image inpainting models discussed in this review are critical
image processing techniques for filling in missing or removed regions in static planar …

Deep learning-based image and video inpainting: A survey

W Quan, J Chen, Y Liu, DM Yan, P Wonka - International Journal of …, 2024 - Springer
Image and video inpainting is a classic problem in computer vision and computer graphics,
aiming to fill in the plausible and realistic content in the missing areas of images and videos …

Automatic high resolution wire segmentation and removal

MT Chiu, X Zhang, Z Wei, Y Zhou… - Proceedings of the …, 2023 - openaccess.thecvf.com
Wires and powerlines are common visual distractions that often undermine the aesthetics of
photographs. The manual process of precisely segmenting and removing them is extremely …

Structure-guided image completion with image-level and object-level semantic discriminators

H Zheng, Z Lin, J Lu, S Cohen… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
Structure-guided image completion aims to inpaint a local region of an image according to
an input guidance map from users. While such a task enables many practical applications …

Lux in Tenebris: un flujo de trabajo para digitalizar y visualizar obras de arte pictóricas en contextos museísticos complejos

FI Apollonio, F Fantini, S Garagnani - EGA Expresión Gráfica …, 2023 - riunet.upv.es
[ES] En el ámbito museístico es frecuente encontrarse con limitaciones logísticas que
dificultan la documentación de las obras de arte. El patrimonio pictórico presenta además …