This is a cross-platform, CUDA-based C++ implementation of the framework proposed in our paper "GPU Accelerated Time-of-Flight Super-Resolution for Image-Guided Surgery".
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This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.