Dec 18, 2023 · In this paper, we recognize the shared context and mechanisms between frame supersampling and extrapolation, and present a novel framework, Space-time ...

Official Implementation of "Low-latency Space-time Supersampling for Real-time Rendering" (AAAI 2024). Environment. We use Torch-TensorRT 1.1.0, PyTorch 1.11, ...

In this paper, we recognize the shared context and mechanisms between frame supersampling and extrapolation, and present a novel framework, Space-time ...

Oct 22, 2024 · In this paper, we recognize the shared context and mechanisms between frame supersampling and extrapolation, and present a novel framework, ...

Dec 19, 2023 · Low-latency Space-time Supersampling for Real-time Rendering Ruian He, Shili Zhou, Yuqi Sun, Ri Cheng, Weimin Tan, Bo Yan tl;dr: common ...

Spatial supersampling methods, such as the Deep Learning SuperSampling (DLSS), have been proven successful at decreasing the rendering time of each frame by ...

Dec 10, 2021 · Spatial supersampling methods, such as the Deep Learning SuperSampling (DLSS), have been proven successful at decreasing the rendering time of ...

This work proposes a new supersampling framework for real-time rendering applications to reconstruct a high-quality image out of a low-resolution one.

Low-latency Space-time Supersampling for Real-time Rendering · 1 code implementation • 18 Dec 2023 • Ruian He, Shili Zhou, Yuqi Sun, Ri Cheng, Weimin Tan, Bo ...

Low-latency Space-time Supersampling for Real-time Rendering · Published: 31 Dec 2022, Last Modified: 20 Mar 2024 · CoRR 2023 · Readers: Everyone ...