Spatons: Spatiotonally Localized Building Blocks for Efficient XR Predistortion
We present Spatons, a family of compositional, spatially localized neural operators for computationally efficient XR (extended reality) predistortion and distortion compensation.
ProofPaper ↗
Key points
- XR displays (AR, VR, and MR) suffer from spatial (e.g., geometric) and tonal (e.g., colour) distortions.
- Frames can be pre-distorted so that the projected image looks as intended.
- A Spaton is a hybrid patch-to-pixel block combining tiny Multi-Layer Perceptrons (MLPs) with fixed-function interpolation.
- Using Spatons, we build programmable, computationally efficient pipelines for varied distortion scenarios.
Sources (1)
- [1]Spatons: Spatiotonally Localized Building Blocks for Efficient XR PredistortionarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 17, 03:11 AM
We present Spatons, a family of compositional, spatially localized neural operators for computationally efficient XR (extended reality) predistortion and distortion compensation.
XR displays (AR, VR, and MR) suffer from spatial (e.g., geometric) and tonal (e.g., colour) distortions.
Extractive summary: sentences quoted from the sources.
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