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Despite the growing variety of alternative technologies, passwords remain the preferred authentication method. This is mostly because passwords are simple to use and remember. Furthermore, most programs use passwords as a backup plan if other security...
The natural language creation field is completely transformed by large language models (LLMs). Traditional fine-tuning approaches for responding to downstream tasks require access to the parameters of LLMs, which limits their use on potent black-box LLMs...

Latest Computer Vision Research From Cornell and Adobe Proposes An Artificial Intelligence (AI) Method To Transfer The Artistic Features Of An Arbitrary Style Image...

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...

Researchers From Princeton and Adobe Propose 3D-FM GAN: A Novel Conditional GAN Framework Designed Specifically For 3D-Controllable Face Manipulation

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...

Adobe AI Researchers Open-Source Image Captioning AI CLIP-S: An Image-Captioning AI Model That Produces Fine-Grained Descriptions of Images

Most of the time, text similarity goals are used to train modern image captioning algorithms. However, models trained with text similarity methodology often neglect...

UC Berkeley And Adobe AI Researchers Propose BlobGAN, A New Unsupervised And Mid-Level Representation For Insane Scene Manipulation

Since the advent of computer vision, one of the fundamental questions of the research community has always been how to represent the incredible richness...

In The Latest AI Research, CMU And Adobe Researchers Propose An Elegant Emsembling Mechanism For GAN Training That Improves FID by 1.5x to 2x...

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...

Researchers from Adobe and MIT Develop Any-resolution Training for High-resolution Image Synthesis

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...

Researchers From the University of Sydney and Adobe Propose P3M-Net: A Portrait Matting Model with Privacy Preserving

This research summary is based on the paper 'Rethinking Portrait Matting with Privacy Preserving' Please don't forget to join our ML Subreddit Deep learning's effectiveness in...

AI Researchers Propose ‘GANgealing’: A GAN-Supervised Algorithm That Learns Transformations of Input Images to Bring Them into Better Joint Alignment

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...

Adobe Researchers Propose Directional GAN (DGAN): A Novel Conditioning Strategy for Generative Networks

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 Photoshop Integrates New NVIDIA AI-Powered Neural Filters To Advance Image Editing

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...

Adobe Research Proposes HDMatt, A Deep Learning-Based Image Matting Approach

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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