Iro Armeni (@ir0armeni)

2025-04-11 | โค๏ธ 77 | ๐Ÿ” 13


Tired of SLAM breaking in dynamic scenes? WildGS-SLAM (#CVPR2025) uses uncertainty-aware tracking & DINOv2-based maps to handle motion, remove dynamic objects, and enable high-quality view synthesis โ€” all from monocular RGB. ๐Ÿ‘‡

๐ŸŒhttps://wildgs-slam.github.io/ ๐Ÿ“œhttps://arxiv.org/abs/2504.03886

๐Ÿ”— ์›๋ณธ ๋งํฌ


Auto-generated - needs manual review

์ธ์šฉ ํŠธ์œ—

jianhao (@jianhao75895505)

๐ŸฅณExcited to share our latest work, WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments, accepted to CVPR2025 ๐ŸŒ

We present a robust monocular RGB SLAM system that uses uncertainty-aware tracking and mapping to handle dynamic scenes. https://t.co/dFZC5cpTBd

์›๋ณธ ํŠธ์œ—

๐ŸŽฌ ์˜์ƒ

Tags

domain-robotics domain-visionos