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Latest Artificial Intelligence (AI) Research At Google Presents ‘Imagic,’ An Effective Technique Based On Diffusion Models To Edit Images With Text Prompts

Especially in the last few years, real-world photo editing with non-trivial semantic adjustments has been a fascinating challenge in image processing. In particular, being...

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...

Google AI Introduces Unified Language Learner (UL2 20B): A Breakthrough Language Pre-Training Paradigm

One of the overarching goals of machine learning (ML) research is the development of methods for creating models that can accurately interpret and produce...

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...

Meta AI Releases HM3D-Sem Dataset, the Largest-Ever Dataset of Semantically-Annotated 3D Indoor Spaces

Scaling has gained importance as a result of recent technology breakthroughs. Large neural networks have been trained in 3D environments using deep reinforcement learning...

Google Releases Lyra V2: A Better, Faster, And More Versatile Speech Codec

Google Releases Lyra V2: A Better, Faster, And More Versatile Speech Codec. The foundation of Lyra V2 is an end-to-end neural audio codec known...

This AI Study Proposes a Fast and High-Quality Neural Vocoder Called ‘WaveFit,’ Which Integrates the Essence of GANs into a DDPM-like Iterative Framework

Neural vocoders are artificial neural networks that use auditory data to produce a voice waveform. They are essential components of modern speech-generating applications. They...

This Google AI’s New Audio Generation Framework, ‘AudioLM,’ Learns To Generate Realistic Speech And Piano Music By Listening To Audio Only

Audio signals, whether human speech, musical composition, or ambient noise, entail different levels of abstraction. Prosody, syntax, grammar, and semantics are a few ways...

Google AI Introduces Frame Interpolation for Large Motion (FILM): A New Neural Network Architecture To Create High-Quality Slow-Motion Videos From Near-Duplicate Photos

Many studies are increasingly focusing on frame interpolation, which synthesizes intermediate pictures between a pair of input frames. The refresh rate can be increased,...

A New Study by Google and DeepMind Introduces Geometric Complexity (GC) for Neural Network Analysis and Understanding of Deep Learning Models

Understanding how regularisation affects the properties of the learned solution is a blooming research topic. This is a particularly crucial component of deep learning....

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