3 papers
cs.CV2026
A 3D mesh convolution-based autoencoder for geometry compression
Germain Bregeon, Marius Preda, Radu Ispas +1
In this paper, we introduce a novel 3D mesh convolution-based autoencoder for geometry compression, able to deal with irregular mesh data without requiring neither preprocessing no…
cs.GR2025
Refining Gaussian Splatting: A Volumetric Densification Approach
Mohamed Abdul Gafoor, Marius Preda, Titus Zaharia
Achieving high-quality novel view synthesis in 3D Gaussian Splatting (3DGS) often depends on effective point primitive management. The underlying Adaptive Density Control (ADC) pro…
cs.CV2025
MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes
Germain Bregeon, Marius Preda, Radu Ispas +1
Convolutional neural networks (CNNs) have been pivotal in various 2D image analysis tasks, including computer vision, image indexing and retrieval or semantic classification. Exten…