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RawSLAM: Online HDR Gaussian SLAM from Linear Radiance

Paper recorded by Signals 4 on 2026-09-17 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-17 on arXiv · recorded by Signals 4 on 2026-09-18

Category: cs.CV · 计算机视觉 · first seen 2026-09-18

Abstract

Current dense visual SLAM systems rely almost exclusively on 8-bit tonemapped Low Dynamic Range (LDR) inputs, limiting their robustness in extreme lighting where shadows and highlights trigger tracking drift and mapping collapse. Conversely, existing raw and High Dynamic Range (HDR) reconstruction pipelines operate strictly offline. They depend on Structure-from-Motion preprocessing and are not su

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#14 most recent of 237 cs.CV papers we have recorded · ↑ newer: INSPECT: Learning Robot View Selection from Assistant Use · ↓ older: CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Sce
Cite this page: RawSLAM: Online HDR Gaussian SLAM from Linear Radiance: the #14 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rawslam-online-hdr-gaussian-slam-from-linear-radiance.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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