← Search

Romain Menegaux

2 accepted papers

2025

LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes

ICCV 2025poster

We address the problem of extending the capabilities of vision foundation models such as DINO, SAM, and CLIP, to 3D tasks. Specifically, we introduce a novel method to uplift 2D image features into Gaussian Splatting representations of 3D scenes. Unlike traditional approaches that rely on minimizing…

Cited by 0SourcePDFScholar