Computer Vision

Google AI Propose A Patch-Based Multi-Scale Image Quality Transformer (MUSIQ) To Bypass The Convolutional Neural Network (CNN) Constraints On Fixed Input Size And Predict The Image Quality Effectively...

The evaluation of image quality (IQA) is a crucial area of study for comprehending and enhancing the visual experience. In order to give users...

Google Researchers Propose a Perceptual Image Quality Assessment Method for Compressed Images Using Deep Learning

Image compression plays a crucial role in the multimedia domain. The increasing number of visual content on the internet is served by scaling data...

Google and Stanford Researchers Propose a Novel Approach for Distilling Classifier-Free Guided Diffusion Models with High Sampling Efficiency

High-resolution picture synthesis using denoising diffusion probabilistic models (DDPMs) with classifier-free guidings, such as DALLE 2, GLIDE, and Imagen, has reached state-of-the-art results. The...

Artificial Intelligence (AI) Researchers at Standford Propose S4ND, a New Deep Layer Based on S4 that Extends SSMs’ Capacity to Simulate Continuous Signals to...

Visual data modeling, such as photographs and videos, is a canonical problem in deep learning. Many current deep learning backbones with good performance on...

Deepmind Researchers Propose A Machine Learning-Based Framework For Doing Research On Hour-Long Films Using The Same Technology That Can Presently Analyze Second-Long Videos

Raw movies are massive and must be compressed before being saved on a disc; once loaded, they are decompressed and placed in device memory...

Researchers from MIT and Microsoft Propose a Practical and Robust Video Conferencing Method Called Gemino That Uses Neural Compression System

We all saw the importance of good-quality video conferencing tools during COVID lockdowns. Education, entertainment, work meetings, and family visits became video conferences, and...

Meet ‘DreamFusion,’ An Effective AI Technique That Uses Machine Learning¬†To Synthesize 3D Models From Text Prompts

By prompting a text-to-image model we can generate images of a wide variety of objects. With clever prompting, it’s also possible to synthesize different...

Latest Robotics Research Releases ‘Hora’: A Single Policy Capable of Rotating Diverse Objects With a Dexterous Robot Hand

In this article, UC Berkeley and Meta researchers demonstrate how an adaptive controller can be trained to rotate various objects over the z-axis using...

CMU Researchers Introduce a Content-based Search Engine for Modelverse, a Model-Sharing Platform that Contains a Diverse Set of Deep Generative Models

The goal of the content-based model search is introduced, which tries to locate the most relevant deep image generative models that fulfill a user's...

Understanding the Role of Artificial Intelligence (AI) in Building Smart Cities and Top Startups Working on it

A report by McKinsey Global Institute finds that 'Smart Cities' can improve essential quality of life indicators by 10-30 % - such as shorter...

Researchers From UC Berkeley Develop NerfAcc, A PyTorch Nerf Acceleration Toolbox For Both Training And Inference

Neural Radiance Fields (NeRFs) is a revolutionary approach for 3D representation that uses a multi-layer perceptron to describe the geometry and view-dependent appearance of...

Harvard Researchers Propose a Self-Supervised Deep Learning Algorithm for Fast and Scalable Search of Whole-Slide Images

The necessity for accurate and economical gigapixel image analysis has risen as whole-slide imaging has become more widely used. Deep learning is at the...

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