Learning Representations from 3D Gaussian Splats
cs.CV
Submitted: 2026-05-28
Updated: 2026-05-28
Terminology
Sources
- Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction
- Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
- ShapeNet: An Information-Rich 3D Model Repository
- Performance of Gaussian Mixture Model Classifiers on Embedded Feature Spaces
- 3D Gaussian Splatting for Real-Time Radiance Field Rendering
- ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
- Multi-view Convolutional Neural Networks for 3D Shape Recognition
- PointConv: Deep Convolutional Networks on 3D Point Clouds
- Learning Unified Representation of 3D Gaussian Splatting
- SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
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