Post-Render Warp with Late Input Sampling Improves Aiming Under High Latency Conditions (HPG 2020)

This is the submission video for the following paper submitted to High Performance Graphics 2020.

NVIDIA Research page:
DOI:

Post-Render Warp with Late Input Sampling Improves Aiming Under High Latency Conditions, Joohwan Kim, Pyarelal Knowles, Josef Spjut, Ben Boudaoud and Morgan McGuire, High Performance Graphics, 2020;

End-to-end latency in remote-rendering systems can reduce user task performance. This notably includes aiming tasks on game streaming services, which are presently below the standards of competitive first-person desktop gaming. We evaluate the latency-induced penalty on task completion time in a controlled environment and show that it can be significantly mitigated by adopting and modifying image and simulation-warping techniques from virtual reality, eliminating up to 80% of the penalty from 80 ms of added latency. This has potential to enable remote rendering for esports and increase the effectiveness of remote-rendered content creation and robotic teleoperation. We provide full experimental methodology, analysis, implementation details, and source code.

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