arXiv (All)
open access
Pow3R-SLAM: Real-Time RGB-D SLAM with 3D Reconstruction Priors
We present Pow3R-SLAM, a real-time RGB-D simultaneous localization and mapping (SLAM) system that uses Pow3R for tracking and mapping. Inspired by MASt3R-SLAM, a recent work on monocular SLAM using two-view 3D reconstruction priors, we extend the work to incorporate depth as a prior on the network's
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- VidAct: Learning Manipulation from In-the-Wild Videos with Object-Centric 3D Awareness#1132071
- Noctif3R: Feed-Forward Monocular Real-Time SLAM for Photon-Limited Scenes on Embedded Hardware#1035084
- CODA: Depth-Aligned Scene Completion and Object Decomposition from a Single RGB-D Image#1061290
- Learning Geometrically-Grounded Amodal 3D Representations for View-Generalizable Robotic Manipulation#1117313
- GoDeep: Annotation-Free Open-Vocabulary 3D Scene Understanding via Language-Space Lifting#668078
Record · ID 1142352
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive