GFFE: G-buffer Free Frame Extrapolation for Low-latency Real-time Rendering

Real-time rendering has been embracing ever-demanding effects, such as ray tracing. However, rendering such effects in high resolution and high frame rate remains challenging. Frame extrapolation methods, which do not introduce additional latency as opposed to frame interpolation methods such as DLSS 3 and FSR 3, boost the frame rate by generating future frames based on previous frames. However, it is a more challenging task because of the lack of information in the disocclusion regions and complex future motions, and recent methods also have a high engine integration cost due to requiring G-buffers as input. We propose a G-buffer free frame extrapolation method, GFFE, with a novel heuristic framework and an efficient neural network, to plausibly generate new frames in real time without introducing additional latency. We analyze the motion of dynamic fragments and different types of disocclusions, and design the corresponding modules of the extrapolation block to handle them. After that, a light-weight shading correction network is used to correct shading and improve overall quality. GFFE achieves comparable or better results than previous interpolation and G-buffer dependent extrapolation methods, with more efficient performance and easier integration.

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Publication Details

Journal
ACM Transactions on Graphics
Published
2024-11-19
DOI
https://doi.org/10.1145/3687923
Citations
8
Primary Topic
Advanced Vision and Imaging
Type
article
Field-Weighted Citation Impact
1.99
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article

GFFE: G-buffer Free Frame Extrapolation for Low-latency Real-time Rendering

Anton Kaplanyan, Deepak Vembar, Songyin Wu, SungYe Kim et al.
8 citations
ACM Transactions on Graphics
Advanced Vision and Imaging
1.99
article

GFFE: G-buffer Free Frame Extrapolation for Low-latency Real-time Rendering

Anton Kaplanyan, Deepak Vembar, Songyin Wu, SungYe Kim, Anton Sochenov, Selvakumar Panneer, Ling‐Qi Yan
article en
8 citations

Abstract

Real-time rendering has been embracing ever-demanding effects, such as ray tracing. However, rendering such effects in high resolution and high frame rate remains challenging. Frame extrapolation methods, which do not introduce additional latency as opposed to frame interpolation methods such as DLSS 3 and FSR 3, boost the frame rate by generating future frames based on previous frames. However, it is a more challenging task because of the lack of information in the disocclusion regions and complex future motions, and recent methods also have a high engine integration cost due to requiring G-buffers as input. We propose a G-buffer free frame extrapolation method, GFFE, with a novel heuristic framework and an efficient neural network, to plausibly generate new frames in real time without introducing additional latency. We analyze the motion of dynamic fragments and different types of disocclusions, and design the corresponding modules of the extrapolation block to handle them. After that, a light-weight shading correction network is used to correct shading and improve overall quality. GFFE achieves comparable or better results than previous interpolation and G-buffer dependent extrapolation methods, with more efficient performance and easier integration.

ACM Transactions on GraphicsVol. 43(6)
Intel (United States) (US), University of California, Santa Barbara (US), Seattle University (US)
Openalex Percentile: Top 12%
Advanced Vision and Imaging
1.99
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GFFE: G-buffer Free Frame Extrapolation for Low-latency Real-time Rendering — Anton Kaplanyan, Deepak Vembar, et al. · ACM Transactions on Graphics (2024) | TGRS Research Map | TGRS