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 …
[HTML][HTML] Deep learning in computer vision: A critical review of emerging techniques and application scenarios
Deep learning has been overwhelmingly successful in computer vision (CV), natural
language processing, and video/speech recognition. In this paper, our focus is on CV. We …
language processing, and video/speech recognition. In this paper, our focus is on CV. We …
Beyond brightening low-light images
Images captured under low-light conditions often suffer from (partially) poor visibility.
Besides unsatisfactory lightings, multiple types of degradation, such as noise and color …
Besides unsatisfactory lightings, multiple types of degradation, such as noise and color …
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 …
Artificial intelligence in the creative industries: a review
N Anantrasirichai, D Bull - Artificial intelligence review, 2022 - Springer
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …
applications in the context of the creative industries. A brief background of AI, and …
Kindling the darkness: A practical low-light image enhancer
Images captured under low-light conditions often suffer from (partially) poor visibility.
Besides unsatisfactory lightings, multiple types of degradations, such as noise and color …
Besides unsatisfactory lightings, multiple types of degradations, such as noise and color …
Large scale image completion via co-modulated generative adversarial networks
Numerous task-specific variants of conditional generative adversarial networks have been
developed for image completion. Yet, a serious limitation remains that all existing algorithms …
developed for image completion. Yet, a serious limitation remains that all existing algorithms …
Brief review of image denoising techniques
L Fan, F Zhang, H Fan, C Zhang - Visual Computing for Industry …, 2019 - Springer
With the explosion in the number of digital images taken every day, the demand for more
accurate and visually pleasing images is increasing. However, the images captured by …
accurate and visually pleasing images is increasing. However, the images captured by …
Nbnet: Noise basis learning for image denoising with subspace projection
In this paper, we introduce NBNet, a novel framework for image denoising. Unlike previous
works, we propose to tackle this challenging problem from a new perspective: noise …
works, we propose to tackle this challenging problem from a new perspective: noise …
Fixing the train-test resolution discrepancy
Data-augmentation is key to the training of neural networks for image classification. This
paper first shows that existing augmentations induce a significant discrepancy between the …
paper first shows that existing augmentations induce a significant discrepancy between the …