Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion

arXiv:2404.04687v1 Announce Type: cross
Abstract: Differentiable 3D-Gaussian splatting (GS) is emerging as a prominent technique in computer vision and graphics for reconstructing 3D scenes. GS represents a scene as a set of 3D Gaussians with varying opacities and employs a computationally efficient splatting operation along with analytical derivatives to compute the 3D Gaussian parameters given scene images captured from various viewpoints. Unfortunately, capturing surround view ($360^{\circ}$ viewpoint) images is impossible or impractical in many real-world imaging scenarios, including underwater imaging, …

3d scenes abstract arxiv compute computer computer vision cs.cv cs.gr cs.lg derivatives differentiable fusion graphics set sonar type vision