GTC 2020: DLSS 2.0 - Image Reconstruction for Real-time Rendering with Deep Learning

[Maddox]

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 and a look at DLSS in the acclaimed sci-fi adventure “Deliver Us The Moon” from KeokeN Interactive.

GTC 2020: DLSS 2.0 - Image Reconstruction for Real-time Rendering with Deep Learning

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...

developer.nvidia.com