submodule/pytorch3d/website/tutorials.json

{
   "3D operators": [
      {
       "id": "deform_source_mesh_to_target_mesh",
       "title": "Fit Mesh"
      },{
       "id": "bundle_adjustment",
       "title": "Bundle Adjustment"
      }
   ],
   "Rendering": [
      {
       "id": "render_textured_meshes",
       "title": "Render Textured Meshes"
      },{
       "id": "render_densepose",
       "title": "Render DensePose Meshes"
      }, {
       "id": "render_colored_points",
       "title": "Render Colored Pointclouds"
      },{
       "id": "fit_textured_mesh",
       "title": "Fit a Mesh with Texture via Rendering"
      }, {
       "id": "camera_position_optimization_with_differentiable_rendering",
       "title": "Camera Position Optimization with Differentiable Rendering"
       },{
       "id": "fit_textured_volume",
       "title": "Fit a volume via raymarching"
       },{
       "id": "fit_simple_neural_radiance_field",
       "title": "Fit a simplified NeRF via raymarching"
      }
   ],
   "Dataloaders": [
       {
          "id": "dataloaders_ShapeNetCore_R2N2",
          "title": "Data loaders for ShapeNetCore and R2N2"
       }
    ],
    "Implicitron": [
      {
         "id": "implicitron_volumes",
         "title": "Training a custom volumes function with implicitron"
      }, {
         "id": "implicitron_config_system",
         "title": "Implicitron config system deep dive"
      }
   ]
}