Published in


StyleNeRF: A 3D-Aware Generator for High-Resolution Image Synthesis with Explicit Style Control

Photo-realistic free-view image synthesis of real-world scenes is an intriguing and important task in the computer vision field. Although the development of generative adversarial networks (GANs) has advanced such image synthesis to stunning new levels of quality, GANs cannot synthesize high-resolution 3D images and tend to be…




We produce professional, authoritative, and thought-provoking content relating to artificial intelligence, machine intelligence, emerging technologies and industrial insights.

Recommended from Medium

AutoSIRDS — Using single image depth estimation to create Single Image Random Dot Stereograms

Sequence to Sequence Learning

Adversarial Generator-Encoder Networks

NLP Deep Learning Training on Downstream tasks using Pytorch Lightning — Translation on English to…

Pendragon Four: Multi-Agent Reinforcement Learning with Fate Grand Order

Rate-limiting with Token Buckets

The best TensorFlow cheat sheet

Google Brain NAS-FPN Outperforms SOTA Models for Object Detection

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store


AI Technology & Industry Review — | Newsletter: | Share My Research | Twitter: @Synced_Global

More from Medium

UC Berkeley, Waymo & Google’s Block-NeRF Neural Scene Representation Method Renders an Entire San…

OneFlow v0.6.0 came out!

Interaction-Grounded Learning: Learning from feedback, not rewards

Why Is Cross Entropy Equal to KL-Divergence?