For 1D functions, the program will generate a 2D plot of the function and the optimization path. For 2D functions, a 3D plot of the function's surface and the path taken by the gradient descent ...

The framework of the proposed two-dimensional three-dimensional (2D–3D) registration method, from the very first input 3D image and 2D image, 3D image is projected to generate 2D image digitally ...

And the args of interface function may not be compatible. I installed two submodules at different order, the result was totally different: RuntimeError: Function _RasterizeGaussiansBackward returned ...

Gradient variance errors in gradient-based search methods are largely mitigated using momentum, however the bias gradient errors may fail the numerical search methods in reaching the true optimum. We ...