A big problem in space research is whether the same stars or galaxies are seen in different sky surveys. Telescopes today gather a ton of data about thousands or even billions of objects using various types...
Providing a virtual environment that matches the actual world, the recent widespread rise of 3D applications, including metaverse, VR/AR, video games, and physical simulators, has improved human lifestyle and increased productive efficiency. These programs are based...
Art is a fascinating yet extremely complex discipline. Indeed, the creation of artistic images is often not only a time-consuming problem but also requires...
The development of 3D-controllable portrait synthesis has been significant. However, it is still difficult to precisely control existing face photos in 3D. Even though...
Most of the time, text similarity goals are used to train modern image captioning algorithms. However, models trained with text similarity methodology often neglect...
Since the advent of computer vision, one of the fundamental questions of the research community has always been how to represent the incredible richness...
This Article Is Based On The Research Paper 'Ensembling Off-the-shelf Models for GAN Training'. All Credit For This Research Goes To The Researchers of...
This article is based on the research paper 'Any-resolution Training for High-resolution Image Synthesis'. All credit for this research goes to the researchers...
This research summary is based on the paper 'Rethinking Portrait Matting with Privacy Preserving'
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Deep learning's effectiveness in...
The correspondence problem of visual alignment is one that computer vision algorithms must solve for many different applications.It's considered a critical element in Optical...
Image content is an integral part of marketing campaigns, websites, banners. Designers use tools like Adobe Photoshop to get the desired and compelling marketing...
Adobe has recently launched an AI-driven Photoshop version. This latest version introduces GPU- accelerated neural filters in collaboration with NVIDIA. Neural filters allow creators...
Image matting is an essential technique to estimate the foreground objects in images and videos for editing and composition. The conventional deep learning approach...
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