arXiv (All)
open access
Marrying Optimal Transport and ODEs for Unified Continuous-Time 4D Reconstruction and Tracking
Existing unified 4D reconstruction and point tracking approaches typically rely on heuristic interpolations or just predict at integer timestamps, lacking kinematic coherence and failing to model dynamics at any arbitrary timestamp. In this paper, we propose Uni4R, a framework that unifies these tas
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
- Future Dynamic 3D Reconstruction: Toward 3D World Modeling with Disentangled Ego-Motion#662444
- Future Dynamic 3D Reconstruction: Toward 3D World Modeling with Disentangled Ego-Motion#661394
- ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting#173308
- Dual Covariance Gaussian Splatting SLAM: Decoupling Rendering and Registration for Robust Real-Time Tracking#1061379
- Towards Detail-Preserving and Geometry-Consistent Single-Image 3D Human Reconstruction#403875
Record · ID 1325234
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