283 citations · 608 across the 24 of their papers we have counts for
5 papers · 1 filter
Content-Aware Texturing for Gaussian Splatting
Panagiotis Papantonakis, Georgios Kopanas, Fredo Durand +1
Gaussian Splatting has become the method of choice for 3D reconstruction and real-time rendering of captured real scenes. However, fine appearance details need to be represented as…
Splat and Replace: 3D Reconstruction with Repetitive Elements
Nicolás Violante, Andreas Meuleman, Alban Gauthier +3
We leverage repetitive elements in 3D scenes to improve novel view synthesis. Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have greatly improved novel view synthe…
On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images
Andreas Meuleman, Ishaan Shah, Alexandre Lanvin +2
Radiance field methods such as 3D Gaussian Splatting (3DGS) allow easy reconstruction from photos, enabling free-viewpoint navigation. Nonetheless, pose estimation using Structure…
MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction
Antoine Guédon, Diego Gomez, Nissim Maruani +3
While recent advances in Gaussian Splatting have enabled fast reconstruction of high-quality 3D scenes from images, extracting accurate surface meshes remains a challenge. Current…
Does 3D Gaussian Splatting Need Accurate Volumetric Rendering?
Adam Celarek, George Kopanas, George Drettakis +2
Since its introduction, 3D Gaussian Splatting (3DGS) has become an important reference method for learning 3D representations of a captured scene, allowing real-time novel-view syn…