SWAG: Splatting in the Wild images with Appearance-conditioned Gaussians

arXiv:2403.10427v1 Announce Type: new
Abstract: Implicit neural representation methods have shown impressive advancements in learning 3D scenes from unstructured in-the-wild photo collections but are still limited by the large computational cost of volumetric rendering. More recently, 3D Gaussian Splatting emerged as a much faster alternative with superior rendering quality and training efficiency, especially for small-scale and object-centric scenarios. Nevertheless, this technique suffers from poor performance on unstructured in-the-wild data. To tackle this, we extend over 3D Gaussian Splatting to handle …

3d scenes abstract arxiv computational cost cs.cv faster images photo quality rendering representation training type unstructured