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DLSS – Image Reconstruction for Real-Time Rendering With Deep Learning (Presented by NVIDIA)

Edward Liu (Senior Research Scientist, NVIDIA)

Location: Room 153, South Hall

Date: Thursday, March 19

Time: 2:00pm - 2:45pm

Pass Type: All Access Pass, Core+Summits Pass, Core Pass, Summits Pass, Expo Plus Pass, Audio Pass, Independent Games Summit Pass, VRDC Add On - Get your pass now!

Topic: Programming

Format: Sponsored Session

Vault Recording: TBD

Audience Level: All

In this talk, Edward Liu from NVIDIA Applied Deep Learning Research delves into the latest research progress on Deep Learning Super Sampling (DLSS), which uses deep learning and the NVIDIA Tensor Cores to reconstruct super sampled frames in real-time. He discusses and demonstrates why scaling and image reconstruction for real-time rendering is an extremely challenging problem, and examines the cause of common artifacts produced by traditional up-sampling techniques. With this background, Edward then shows how the DLSS, deep learning based reconstruction algorithm, achieves better image quality with less input samples than traditional techniques. The talk concludes with a walkthrough of DLSS integration in Unreal Engine 4 (UE4) and a look at the integration of DLSS in to the acclaimed indie sci-fi adventure "Deliver Us The Moon" from KeokeN Interactive.