Hello! I have troubles to get thepoint_to_mesh_distancefunction to work. Here is a MWE: importmatplotlib.pyplotaspltimporttorchfromkaolin.ioimportobjfromkaolin.ops.meshimportindex_vertices_by_facesfromkaolin.metrics.trianglemeshimportpoint_to_mesh_distancemesh=obj.import_mesh("/path/to/model.obj"...
point_to_mesh_distance returns strange "jumps" in distance #807 openedJul 17, 2024bylorjul 4 [F glutil.cpp:338] eglInitialize() failed Aborted (core dumped) when render with kaolin and nvdiffrast #796 openedMay 14, 2024bywalsvid
Convert between 3D representations using fast and reliable conversion operations, includingmarching cube,marching tetrahedraandFlexicubes, point cloud sampling from mesh and various conversion to SPCs. Use GPU-optimized implementations of 3D loss functions such aspoint-to-mesh distance,nearest point distance...
UseKaolin's DefTet volumetric renderer,tetrahedral losses,camera_functions,mesh operators and conversions,ShapeNet dataset,point_to_mesh_distanceandsided_distance. Text2Mesh: UseKaolin's rendering functions,camera functions, andobjandoffimporters.
Use GPU-optimized implementations of 3D loss functions such as point-to-mesh distance, nearest point distance, chamfer distance, AMIPS loss, and a collection of other operations on 3D data, such as topology processing on mesh, extraction and projection of orthographic depth maps, and operations ...
Neural 3D Mesh Renderer (https://arxiv.org/abs/1711.07566) 度量:实现的度量和损失函数如下: Mesh: Triangle Distance, Chamfer Distance, Edge Length regularization, Laplacian regularization, Point to Surface distance, Normal consistency Point Cloud: Sided Distance, Chamfer Distance, Directed Distance ...
Neural 3D Mesh Renderer (https://arxiv.org/abs/1711.07566) 度量:实现的度量和损失函数如下: Mesh: Triangle Distance, Chamfer Distance, Edge Length regularization, Laplacian regularization, Point to Surface distance, Normal consistency Point Cloud: Sided Distance, Chamfer Distance, Directed Distance ...
Neural 3D Mesh Renderer (https://arxiv.org/abs/1711.07566) 度量:实现的度量和损失函数如下: Mesh: Triangle Distance, Chamfer Distance, Edge Length regularization, Laplacian regularization, Point to Surface distance, Normal consistency Point Cloud: Sided Distance, Chamfer Distance, Directed Distance ...
NVIDIA Kaolin通过提供广泛的API来处理不同的3D数据表示形式,如网格(meshes)、点云(point clouds)和体素(voxels),有效地解决了这个问题。这些API不仅覆盖了数据加载、预处理等基础功能,还包括了高级操作如渲染(rendering)、变形(deformation)等,几乎涵盖了3D数据处理的所有方面。例如,在处理网格数据时,Kaolin提供了多种...
Neural 3D Mesh Renderer (https://arxiv.org/abs/1711.07566) 度量:实现的度量和损失函数如下: Mesh: Triangle Distance, Chamfer Distance, Edge Length regularization, Laplacian regularization, Point to Surface distance, Normal consistency Point Cloud: Sided Distance, Chamfer Distance, Directed Distance ...