From the 1 of 12 linked papers with an AI index.
12 papers
Immediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency
Andreas Meuleman, Linus Franke, Boris Zhestiankin +2
The paper presents a method for instantly reconstructing 3D scenes from unordered image collections using 3D Gaussian splatting, achieving global consistency through fast matching,…
Lighting-Consistent Object Transfer Across Radiance Fields
Nicolás Violante, George Kopanas, Linus Franke +2
3D Gaussian Splatting (3DGS) is widely used to capture and render real scenes. Compositing objects from one capture into another has applications in many domains, such as VFX, arch…
SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting
Svenja Strobel, Matthias Innmann, Bernhard Egger +2
LiDAR-captured point clouds are often considered the gold standard in active 3D reconstruction. While their accuracy is exceptional in flat regions, the capturing is susceptible to…
Fus3D: Decoding Consolidated 3D Geometry from Feed-forward Geometry Transformer Latents
Laura Fink, Linus Franke, George Kopanas +2
We propose a feed-forward method for dense Signed Distance Field (SDF) regression from unstructured image collections in less than three seconds, without camera calibration or post…
Multi-Spectral Gaussian Splatting with Neural Color Representation
Lukas Meyer, Josef Grün, Maximilian Weiherer +3
We present MS-Splatting -- a multi-spectral 3D Gaussian Splatting (3DGS) framework that is able to generate multi-view consistent novel views from images of multiple, independent c…
Faster-GS: Analyzing and Improving Gaussian Splatting Optimization
Florian Hahlbohm, Linus Franke, Martin Eisemann +1
Recent advances in 3D Gaussian Splatting (3DGS) have focused on accelerating optimization while preserving reconstruction quality. However, many proposed methods entangle implement…