arXiv (All)
open access
Interp3R: Continuous-time 3D Geometry Estimation with Frames and Events
In recent years, 3D visual foundation models, pioneered by pointmap-based approaches such as DUSt3R, have attracted a lot of interest, achieving impressive accuracy and strong generalization across diverse scenes. However, these methods are inherently limited to recovering scene geometry only at the
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
- TopoSurfel: Closing the Loop between Gaussian Surfels and Meshes for Surface Reconstruction#792817
- TopoSurfel: Closing the Loop between Gaussian Surfels and Meshes for Surface Reconstruction#788813
- SAGE-Flow: A Decoupled Framework for Geometry Alignment and Stateless Real-Time Multi-Camera 3D Reconstruction#1142706
- Dyna3: VLM-Guided Training-Free 4D Reconstruction via Depth Foundation Models#1156558
- LEAP-NBV: Lightweight Edge Active-Perception for Foundation-Model Next-Best-View Planning#1050163
Record · ID 1129197
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