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arXiv Computer Vision By Anatolii Evdokimov, Stavros Diolatzis, Bingxuan Li, Akshay Jindal, Patsorn Sangkloy, Qi Sun

Frequency-Adaptive Gaussian Grids for Efficient Image Representation

Read the original on arXiv Computer Vision →

The paper introduces Gaussian-Grid, a hybrid neural representation that blends structured feature grids with unstructured 2D Gaussian distributions. It dynamically allocates computation based on local frequency content, enabling efficient image representation. Experiments on high‑resolution natural images show significant gains in decoding speed and PCIe data traffic reduction compared to JPEG + ZIP, while preserving small memory footprints and high reconstruction fidelity.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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