3 papers
cs.CV2025
3DOF+Quantization: 3DGS quantization for large scenes with limited Degrees of Freedom
Matthieu Gendrin, Stéphane Pateux, Théo Ladune
3D Gaussian Splatting (3DGS) is a major breakthrough in 3D scene reconstruction. With a number of views of a given object or scene, the algorithm trains a model composed of 3D gaus…
cs.CV2025
Adam SLAM - the last mile of camera calibration with 3DGS
Matthieu Gendrin, Stéphane Pateux, Xiaoran Jiang +2
The quality of the camera calibration is of major importance for evaluating progresses in novel view synthesis, as a 1-pixel error on the calibration has a significant impact on th…
cs.CV2025
BOGausS: Better Optimized Gaussian Splatting
Stéphane Pateux, Matthieu Gendrin, Luce Morin +2
3D Gaussian Splatting (3DGS) proposes an efficient solution for novel view synthesis. Its framework provides fast and high-fidelity rendering. Although less complex than other solu…