activity
20242026
most citedHigh-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Dense Dynamic Scene Reconstruction and Camera Pose Estimation from Multi-View Videos

Shuo Sun, Unal Artan, Malcolm Mielle +3

We address the challenging problem of dense dynamic scene reconstruction and camera pose estimation from multiple freely moving cameras -- a setting that arises naturally when mult…

cs.CV2026

SEAR: Simple and Efficient Adaptation of Visual Geometric Transformers for Unpaired RGB+Thermal 3D Reconstruction

Vsevolod Skorokhodov, Chenghao Xu, Shuo Sun +2

Foundational feed-forward visual geometry models enable accurate and efficient camera pose estimation and scene reconstruction by learning strong scene priors from massive RGB data…

cs.CV2025

Large-scale visual SLAM for in-the-wild videos

Shuo Sun, Torsten Sattler, Malcolm Mielle +2

Accurate and robust 3D scene reconstruction from casual, in-the-wild videos can significantly simplify robot deployment to new environments. However, reliable camera pose estimatio…

cs.RO2024★ 1 cited

High-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization

Shuo Sun, Malcolm Mielle, Achim J. Lilienthal +1

We propose a dense RGBD SLAM system based on 3D Gaussian Splatting that provides metrically accurate pose tracking and visually realistic reconstruction. To this end, we first prop…

cs.RO2024

3QFP: Efficient neural implicit surface reconstruction using Tri-Quadtrees and Fourier feature Positional encoding

Shuo Sun, Malcolm Mielle, Achim J. Lilienthal +1

Neural implicit surface representations are currently receiving a lot of interest as a means to achieve high-fidelity surface reconstruction at a low memory cost, compared to tradi…