GaussianPro: 3D Gaussian Splatting with Progressive Propagation(Related Work)

Multi-view Stereo

MVS aims to reconstruct a 3D model from a collection of posed images, which can be further combined with traditional rendering algorithms to generate novel views.

Traditional methods explicitly establish pixel correspondences between images based on hand-crafted image features and then optimize the 3D structure to achieve the best pixel correspondences among images.

Learning-based MVS methods implicitly build multi-view correspondences with learnable features and regress depth or 3D volume based on the features in an end-to-end framework.

GaussianPro draws inspiration from depth optimization in MVS to improve the geometry of the Gaussians, thereby achieving better rendering results.

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Neural Radiance Field

NeRF combines deep learning techniques with the 3D volumetric representation, transforming a 3D scene into a learnable continuous density field.

Utilizing ray m