Towards Motion Metamers for Foveated Rendering
Taimoor Tariq, Piotr Didyk
Abstract
Foveated rendering takes advantage of the reduced spatial sensitivity in peripheral vision to greatly reduce rendering cost without noticeable spatial quality degradation. Due to its benefits, it has emerged as a key enabler for real-time high-quality virtual and augmented realities. Interestingly though, a large body of work advocates that a key role of peripheral vision may be motion detection, yet foveated rendering lowers the image quality in these regions, which may impact our ability to detect and quantify motion. The problem is critical for immersive simulations where the ability to detect and quantify movement drives actions and decisions. In this work, we diverge from the contemporary approach towards the goal of foveated graphics, and demonstrate that a loss of high-frequency spatial details in the periphery inhibits motion perception, leading to underestimating motion cues such as velocity. Furthermore, inspired by an interesting visual illusion, we design a perceptually motivated real-time technique that synthesizes controlled spatio-temporal motion energy to offset the loss in motion perception. Finally, we perform user experiments demonstrating our method's effectiveness in recovering motion cues without introducing objectionable quality degradation.
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Install the CLIlune papers fulltext 4c159e56-3b02-442c-bdd6-aafc1c5e55e5Cited by top-tier papers4
- Towards Understanding Depth Perception in Foveated RenderingSophie Kergaßner, Taimoor Tariq, Piotr DidykSIGGRAPH 2025 · 5 citations
- Gaze-Adaptive Foveation for Remote Rendered VRAdhi Widagdo, Teemu Kämäräinen, Ahmad Alhilal, Matti Siekkinen et al.ACM MM 2025
- Learned Single-Pass Multitasking Perceptual Graphics for Immersive DisplaysDoga Yilmaz, He Wang, Towaki Takikawa, Duygu Ceylan et al.ACM MM 2025
- Dichoptic FoveationHenry Kam, Colin Groth, Jenna Kang, Pratham Saraf et al.SIGGRAPH 2026
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- FovVideoVDP: a visible difference predictor for wide field-of-view videoRafal K. Mantiuk, Gyorgy Denes, Alexandre Chapiro, Anton Kaplanyan et al.SIGGRAPH 2021 · 158 citations
- Beyond blur: real-time ventral metamers for foveated renderingDavid R. Walton, Rafael Kuffner dos Anjos, Sebastian Friston, David Swapp et al.SIGGRAPH 2021 · 60 citations
- stelaCSF: a unified model of contrast sensitivity as the function of spatio-temporal frequency, eccentricity, luminance and areaRafal K. Mantiuk, Maliha Ashraf, Alexandre ChapiroSIGGRAPH 2022 · 56 citations
- Towards Attention-aware Foveated RenderingBrooke Krajancich, Petr Kellnhofer, Gordon WetzsteinSIGGRAPH 2023 · 41 citations
- A perceptual model for eccentricity-dependent spatio-temporal flicker fusion and its applications to foveated graphicsBrooke Krajancich, Petr Kellnhofer, Gordon WetzsteinSIGGRAPH 2021 · 36 citations
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