Image inpainting: A review
Although image inpainting, or the art of repairing the old and deteriorated images, has been
around for many years, it has recently gained even more popularity, because of the recent …
around for many years, it has recently gained even more popularity, because of the recent …
Image inpainting based on deep learning: A review
Z Qin, Q Zeng, Y Zong, F Xu - Displays, 2021 - Elsevier
Image inpainting aims to restore the pixel features of damaged parts in incomplete image
and plays a key role in many computer vision tasks. Image inpainting technology based on …
and plays a key role in many computer vision tasks. Image inpainting technology based on …
Repaint: Inpainting using denoising diffusion probabilistic models
Free-form inpainting is the task of adding new content to an image in the regions specified
by an arbitrary binary mask. Most existing approaches train for a certain distribution of …
by an arbitrary binary mask. Most existing approaches train for a certain distribution of …
Mat: Mask-aware transformer for large hole image inpainting
Recent studies have shown the importance of modeling long-range interactions in the
inpainting problem. To achieve this goal, existing approaches exploit either standalone …
inpainting problem. To achieve this goal, existing approaches exploit either standalone …
Resolution-robust large mask inpainting with fourier convolutions
R Suvorov, E Logacheva, A Mashikhin… - Proceedings of the …, 2022 - openaccess.thecvf.com
Modern image inpainting systems, despite the significant progress, often struggle with large
missing areas, complex geometric structures, and high-resolution images. We find that one …
missing areas, complex geometric structures, and high-resolution images. We find that one …
Deep learning for image inpainting: A survey
Image inpainting has been widely exploited in the field of computer vision and image
processing. The main purpose of image inpainting is to produce visually plausible structure …
processing. The main purpose of image inpainting is to produce visually plausible structure …
One-shot free-view neural talking-head synthesis for video conferencing
We propose a neural talking-head video synthesis model and demonstrate its application to
video conferencing. Our model learns to synthesize a talking-head video using a source …
video conferencing. Our model learns to synthesize a talking-head video using a source …
Incremental transformer structure enhanced image inpainting with masking positional encoding
Image inpainting has made significant advances in recent years. However, it is still
challenging to recover corrupted images with both vivid textures and reasonable structures …
challenging to recover corrupted images with both vivid textures and reasonable structures …
Learning texture transformer network for image super-resolution
We study on image super-resolution (SR), which aims to recover realistic textures from a low-
resolution (LR) image. Recent progress has been made by taking high-resolution images as …
resolution (LR) image. Recent progress has been made by taking high-resolution images as …
FFTI: Image inpainting algorithm via features fusion and two-steps inpainting
Y Chen, R Xia, K Zou, K Yang - Journal of Visual Communication and …, 2023 - Elsevier
In view of the faultiness that the existing image inpainting methods fail to make full use of the
complete region to predict the missing region features when the object features are seriously …
complete region to predict the missing region features when the object features are seriously …