3D Gaussian splatting is a machine learning technique that reconstructs 3D scenes from 2D image datasets by replacing traditional triangle primitives with unique Gaussian splats. The algorithm optimizes the model by iteratively rendering the scene from various angles and comparing it to ground truth photographs, offering a highly efficient method for rapidly generating realistic environments.