From the 2 of 15 linked papers with an AI index.
15 papers
MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos
Ziren Gong, Xiaohan Li, Fabio Tosi +4
The paper introduces MAGiSt3R, a multi-agent framework that reconstructs 3D scenes and tracks camera pose from monocular RGB videos in near real-time using feed-forward models and…
DINO-SLAM: DINO-informed RGB-D SLAM for Neural Implicit and Explicit Representations
Ziren Gong, Xiaohan Li, Fabio Tosi +4
The paper introduces DINO-SLAM, a system that combines DINO semantic features with a geometry encoder to improve both neural implicit (NeRF) and explicit (Gaussian Splatting) SLAM…
ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device
Fabio Tosi, Luca Bartolomei, Matteo Poggi +1
Monocular depth estimation has seen remarkable progress through foundation models achieving robust zero-shot generalization, yet their computational demands place them far beyond t…
Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereo
Ninghui Xu, Fabio Tosi, Lihui Wang +5
Conventional frame-based cameras capture rich contextual information but suffer from limited temporal resolution and motion blur in dynamic scenes. Event cameras offer an alternati…
EventHub: Data Factory for Generalizable Event-Based Stereo Networks without Active Sensors
Luca Bartolomei, Fabio Tosi, Matteo Poggi +2
We propose EventHub, a novel framework for training deep-event stereo networks without ground truth annotations from costly active sensors, relying instead on standard color images…
Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos
Ziren Gong, Xiaohan Li, Fabio Tosi +4
We present Ov3R, a novel framework for open-vocabulary semantic 3D reconstruction from RGB video streams, designed to advance Spatial AI. The system features two key components: CL…