Foveated Spatial Compression for Remote Rendered Virtual Reality

Author:

Kämäräinen Teemu1ORCID,Siekkinen Matti21ORCID

Affiliation:

1. University of Helsinki, Helsinki, Finland

2. Aalto University, Espoo, Finland

Publisher

ACM

Reference31 articles.

1. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

2. ALVR. 2023 . PC VR Without the Wires . Retrieved February 27, 2023 from https://alvr-org.github.io/ ALVR. 2023. PC VR Without the Wires. Retrieved February 27, 2023 from https://alvr-org.github.io/

3. Mustafa Ayazoglu . 2021 . Extremely lightweight quantization robust real-time single-image super resolution for mobile devices . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2472--2479 . Mustafa Ayazoglu. 2021. Extremely lightweight quantization robust real-time single-image super resolution for mobile devices. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2472--2479.

4. Perceptually-Friendly H.264/AVC Video Coding Based on Foveated Just-Noticeable-Distortion Model

5. Chao Dong , Chen Change Loy , Kaiming He , and Xiaoou Tang . 2014 . Learning a deep convolutional network for image super-resolution. In Computer Vision-ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6--12, 2014 , Proceedings, Part IV 13 . Springer, 184--199. Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang. 2014. Learning a deep convolutional network for image super-resolution. In Computer Vision-ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6--12, 2014, Proceedings, Part IV 13. Springer, 184--199.

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