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Implicit Neural Representation for Hyperspectral Video Compression

Paper recorded by Signals 4 on 2026-09-25 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.CV · 计算机视觉 · first seen 2026-09-28

Abstract

With the advent of snapshot cameras, hyperspectral video is becoming more readily available. In recent years, new applications have emerged which have led to increasingly larger datasets. However, hyperspectral video compression remains in the early stages. In this study, we explore the use of implicit neural representation as a candidate solution. We propose a novel extension of an existing RGB v

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#28 most recent of 342 cs.CV papers we have recorded · ↑ newer: TemplateCraft: Agentic Visual Template Generation · ↓ older: AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segm
Cite this page: Implicit Neural Representation for Hyperspectral Video Compression: the #28 most recent of 342 cs.CV papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/implicit-neural-representation-for-hyperspectral-video-compression.html
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