MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

arXiv:2403.14627v1 Announce Type: new
Abstract: We propose MVSplat, an efficient feed-forward 3D Gaussian Splatting model learned from sparse multi-view images. To accurately localize the Gaussian centers, we propose to build a cost volume representation via plane sweeping in the 3D space, where the cross-view feature similarities stored in the cost volume can provide valuable geometry cues to the estimation of depth. We learn the Gaussian primitives' opacities, covariances, and spherical harmonics coefficients jointly with the Gaussian centers while only relying …

abstract arxiv build cost cs.cv feature images plane representation space type via view