Lens Matched Shading and Unreal Engine 4 Integration Part 2

GameWorks, GameWorks Expert Developer, Unreal Engine 4, VRWorks

Edward Liu, posted Jan 18 2017

Engine Integration

This section of the post will focus on integrating Lens Matched Shading into Unreal Engine 4. We hope that this will serve as an example and provide guidance for developers who are interested in integrating LMS into their own engines. We will first provide an overview of how LMS works within the deferred shading framework before taking a more in-depth look at some specific rendering features and explaining the nitty-gritty details of making them work with LMS.

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Lens Matched Shading and Unreal Engine 4 Integration Part 1

GameWorks, GameWorks Expert Developer, Unreal Engine 4, VRWorks

Edward Liu, posted Jan 18 2017

Introduction

Lens Matched Shading (LMS) is one of the new technologies introduced along with the Pascal architecture, with the specific purpose of improving the performance and efficiency of Virtual Reality (VR) rendering. LMS achieves both better perf and perceived image quality than Maxwell's Multi Resolution Shading (MRS) technique.

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App Helps Fishermen Instantly ID Their Catch

News, Cloud, CUDA, cuDNN, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Jan 17 2017

Not sure which fish you caught? FishVerify uses artificial intelligence to help fishermen instantly identify their catch and learn local fishing regulations related to that specific specie. With over 80 years of fishing experience combined, the three founders found themselves still stumped by the mysterious fish they caught in the Florida waters. Using CUDA, Tesla

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AI Predicts When Heart Will Fail

Research, CUDA, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jan 17 2017

Scientists from Imperial College London developed 3D virtual hearts from MRI scans to predict heart disease outcomes. “This is the first time computers have interpreted heart scans to accurately predict how long patients will live. It could transform the way doctors treat heart patients,” said Dr Declan O’Regan, lead author from the Imperial College London

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