/* * Copyright (C) 2023, Gaussian-Grouping * Gaussian-Grouping research group, https://github.com/lkeab/gaussian-grouping * All rights reserved. * ------------------------------------------------------------------------ * Modified from codes in Gaussian-Splatting * GRAPHDECO research group, https://team.inria.fr/graphdeco */ #pragma once #include #include #include #include std::tuple RasterizeGaussiansCUDA( const torch::Tensor& background, const torch::Tensor& means3D, const torch::Tensor& colors, const torch::Tensor& opacity, const torch::Tensor& scales, const torch::Tensor& rotations, const float scale_modifier, const torch::Tensor& cov3D_precomp, const torch::Tensor& alpha, const torch::Tensor& viewmatrix, const torch::Tensor& projmatrix, const float tan_fovx, const float tan_fovy, const int image_height, const int image_width, const torch::Tensor& sh, const torch::Tensor& sh_objs, const int degree, const torch::Tensor& campos, const bool prefiltered, const bool debug); std::tuple RasterizeGaussiansBackwardCUDA( const torch::Tensor& background, const torch::Tensor& means3D, const torch::Tensor& radii, const torch::Tensor& colors, const torch::Tensor& scales, const torch::Tensor& rotations, const float scale_modifier, const torch::Tensor& cov3D_precomp, const torch::Tensor& viewmatrix, const torch::Tensor& projmatrix, const float tan_fovx, const float tan_fovy, const torch::Tensor& dL_dout_color, const torch::Tensor& sh, const torch::Tensor& dL_dout_objects, const torch::Tensor& sh_objs, const int degree, const torch::Tensor& campos, const torch::Tensor& geomBuffer, const int R, const torch::Tensor& binningBuffer, const torch::Tensor& imageBuffer, const bool debug); torch::Tensor markVisible( torch::Tensor& means3D, torch::Tensor& viewmatrix, torch::Tensor& projmatrix);