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...

AI Paper Summary
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

AI Paper Summary
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

AI Paper Summary
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...

AI Paper Summary
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

AI Paper Summary
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

AI Paper Summary
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

AI Paper Summary
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

AI Paper Summary
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

AI Paper Summary
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

AI Shorts
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

AI Paper Summary
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

AI Paper Summary
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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