IEEE

Propagating Sparse Depth via Depth Foundation Model for Out-of-Distribution Depth Completion

Abstract: Depth completion is a pivotal challenge in computer vision, aiming at reconstructing the dense depth map from a sparse one, typically with a paired RGB image. Existing learning-based models ...
EurekAlert!

Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
IEEE

Sparse Variational Bayesian Inversion for Subsurface Seismic Imaging

Abstract: This article considers the Bayesian inversion of subsurface models from seismic observations, a well-known high-dimensional and ill-posed problem. A reduction of the parameters’ space is ...
GitHub

XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies

Abstract: We present XCube (abbreviated as X 3), a novel generative model for high-resolution sparse 3D voxel grids with arbitrary attributes. Our model can generate millions of voxels with a finest ...