Leveraging Visual and Geometric Priors for Metric-scale and Complete Vehicle Gaussian Reconstruction from Limited Views
A feed-forward vehicle asset reconstruction method that leverages two complementary priors to reconstruct 3D Gaussian representations for vehicles using sparse one-sided observations and significantly outperforms existing approaches in both vehicle asset completeness and geometric accuracy is proposed.