Archives for GAN
New research proposes the reconstruction of high-resolution images from human brain activity; opens doors to future technology
The post Can Stable Diffusion Make Mind-Reading a Reality? appeared first on Analytics India Magazine.
OpenCV chief Satya Mallick believes we should look at AI as a collaborator instead of a competitor that humans can leverage to be more productive
The post What’s Next in Generative AI? appeared first on Analytics India Magazine.
Nearly 60 to 70% of the model development time is spent on data-related processes.
Nearly 60 to 70% of the model development time is spent on data-related processes.
In digital image processing, a lot of various methods are used to increase the quality of the image such as noise reduction, high resolution, etc. Image illumination is one such technique that highly affects the quality of the photo.
In this article, we will go through an overview of each of the popular image reconstruction techniques and will understand how these techniques work.
Real-ESRGAN is an extension of the powerful ESRGAN that synthesizes training pairs with a more practical degradation mechanism to recover general real-world low-resolution pictures. Real-ESRGAN is able to repair most real-world photos and produce superior visual performance than prior works
Automatically generating realistic images is a difficult task, even the most advanced machine learning algorithms struggle to meet this requirement.
Intel’s breakthroughs in 2021 demonstrate that Intel is on track to continue the advancement and benefits of Moore’s Law
Until 2005, we did not have a lot of data to create these algorithms or to tell them if they are working well..