Sign inGet started
Paper · arXiv

Static Scene Reconstruction from Dynamic Egocentric Videos

Egocentric videos present unique challenges for 3D reconstruction due to rapid camera motion and frequent dynamic interactions. State-of-the-art static reconstruction systems, such as MapAnything, often degrade in these settings, suffering from catastrophic trajectory drift and "ghost" geometry caused by moving hands. We bridge this gap by proposing a robust pipeline that adapts static reconstruction backbones to long-form egocentric video. Our approach introduces a mask-aware reconstruction mechanism that explicitly suppresses dynamic foreground in the attention layers, preventing hand artifacts from contaminating the static map. Furthermore, we employ a chunked reconstruction strategy w...

AuthorsQifei Cui, Patrick Chen
Primary categorycs.CV
Published23 March 2026
Last updated at source23 March 2026
cs.CVcs.GR
Embed this entry
<iframe src="https://silytics.si/embed/item/fe52a702-2efc-4a34-a411-5f8eb0659716" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.