A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?
As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …
everywhere because of its ability to analyze and create text, images, and beyond. With such …
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 …
Pd-gan: Probabilistic diverse gan for image inpainting
We propose PD-GAN, a probabilistic diverse GAN forimage inpainting. Given an input image
with arbitrary holeregions, PD-GAN produces multiple inpainting results withdiverse and …
with arbitrary holeregions, PD-GAN produces multiple inpainting results withdiverse and …
[HTML][HTML] Machine learning and deep learning applications-a vision
The application of artificial intelligence is machine learning which is one of the current topics
in the computer field as well as for the new COVID-19 pandemic. Researchers have given a …
in the computer field as well as for the new COVID-19 pandemic. Researchers have given a …
High-fidelity pluralistic image completion with transformers
Image completion has made tremendous progress with convolutional neural networks
(CNNs), because of their powerful texture modeling capacity. However, due to some …
(CNNs), because of their powerful texture modeling capacity. However, due to some …
Blind image super-resolution: A survey and beyond
Blind image super-resolution (SR), aiming to super-resolve low-resolution images with
unknown degradation, has attracted increasing attention due to its significance in promoting …
unknown degradation, has attracted increasing attention due to its significance in promoting …
Reduce information loss in transformers for pluralistic image inpainting
Transformers have achieved great success in pluralistic image inpainting recently. However,
we find existing transformer based solutions regard each pixel as a token, thus suffer from …
we find existing transformer based solutions regard each pixel as a token, thus suffer from …
Preserving Artistic Heritage: A Comprehensive Review of Virtual Restoration Methods for Damaged Artworks
P Kumar, V Gupta - Archives of Computational Methods in Engineering, 2024 - Springer
Restoration of damaged artwork is an important task to preserve the culture and history of
humankind. Restoration of damaged artwork is a delicate, complex, and irreversible process …
humankind. Restoration of damaged artwork is a delicate, complex, and irreversible process …
Bringing old films back to life
We present a learning-based framework, recurrent transformer network (RTN), to restore
heavily degraded old films. Instead of performing frame-wise restoration, our method is …
heavily degraded old films. Instead of performing frame-wise restoration, our method is …
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications
The recent availability of electronic health records (EHRs) have provided enormous
opportunities to develop artificial intelligence (AI) algorithms. However, patient privacy has …
opportunities to develop artificial intelligence (AI) algorithms. However, patient privacy has …