Since generative AI began to garner public interest, the computer vision research field has deepened its interest in ...

Department of EECS, University of California at Berkeley, 485 Soda Hall, Berkeley CA 94720-1776, USA Previously at: Institute for Adaptive and Neural Computation, University of Edinburgh, UK.

Conda (recommended for easy setup) C++ Compiler for PyTorch extensions CUDA toolkit 11.8 for PyTorch extensions C++ Compiler and CUDA SDK must be compatible Please refer to the original 2D Gaussian ...

Abstract: Learning-based distribution system state estimation (DSSE ... To fully leverage low-cost unlabeled historical measurement data, this article proposes a Gaussian process (GP)-regularized semi ...

n_steps: The number of steps in the walk. std_dev: The standard deviation of the Gaussian distribution for each step. Returns: A tuple of two lists representing the x and y coordinates of the walk. x ...

To address this issue, we introduce Mixed Gaussian Splatting (MixedGS) which combines 2D Gaussians for accurate surface reconstruction and 3D Gaussians for high-fidelity rendering. With anchor point ...

The Fujitsu Digital Annealer is designed to solve fully connected quadratic unconstrained binary optimization (QUBO) problems. It is implemented on application-specific CMOS hardware and currently ...