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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.15183 |
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| _version_ | 1866913899791515648 |
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| author | Chen, Xingyu Fang, Xinmin Zhang, Shuting Zhang, Xinyu He, Liang Li, Zhengxiong |
| author_facet | Chen, Xingyu Fang, Xinmin Zhang, Shuting Zhang, Xinyu He, Liang Li, Zhengxiong |
| contents | Mobile Virtual Reality (VR) is essential to achieving convenient and immersive human-computer interaction and realizing emerging applications such as Metaverse. However, existing VR technologies require two separate renderings of binocular images, causing a significant bottleneck for mobile devices with limited computing capability and power supply. This paper proposes an approach to rendering optimization for mobile VR called EffVR. By utilizing the per-pixel attribute, EffVR can generate binocular VR images from the monocular image through genuinely one rendering, saving half the computation over conventional approaches. Our evaluation indicates that, compared with the state-of-art, EffVRcan save 27% power consumption on average while achieving high binocular image quality (0.9679 SSIM and 34.09 PSNR) in mobile VR applications. Additionally, EffVR can increase the frame rate by 115.2%. These results corroborate EffVRsuperior computation/energy-saving performance, paving the road to a sustainable mobile VR. The source code, demo video, android app, and more are released anonymously at https://yoro-vr.github.io/ |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_15183 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality Chen, Xingyu Fang, Xinmin Zhang, Shuting Zhang, Xinyu He, Liang Li, Zhengxiong Graphics Mobile Virtual Reality (VR) is essential to achieving convenient and immersive human-computer interaction and realizing emerging applications such as Metaverse. However, existing VR technologies require two separate renderings of binocular images, causing a significant bottleneck for mobile devices with limited computing capability and power supply. This paper proposes an approach to rendering optimization for mobile VR called EffVR. By utilizing the per-pixel attribute, EffVR can generate binocular VR images from the monocular image through genuinely one rendering, saving half the computation over conventional approaches. Our evaluation indicates that, compared with the state-of-art, EffVRcan save 27% power consumption on average while achieving high binocular image quality (0.9679 SSIM and 34.09 PSNR) in mobile VR applications. Additionally, EffVR can increase the frame rate by 115.2%. These results corroborate EffVRsuperior computation/energy-saving performance, paving the road to a sustainable mobile VR. The source code, demo video, android app, and more are released anonymously at https://yoro-vr.github.io/ |
| title | You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality |
| topic | Graphics |
| url | https://arxiv.org/abs/2506.15183 |