# We compare the two sets of pointclouds by computing (a) the chamfer loss loss_chamfer, _ = chamfer_distance(sample_trg, sample_src) # and (b) the edge length of the predicted mesh loss_edge = mesh_edge_loss(ne
However, solely minimizing the chamfer distance between the predicted and the target mesh will lead to a non-smooth shape (verify this by setting w_chamfer=1.0 and all other weights to 0.0). We enforce smoothness by adding shape regularizers to the objective. Namely, we add: mesh_edge_len...
"""using pytorch3d deform a source mesh to target mesh using 3D loss functions"""importosfrompytorch3d.ioimportload_obj,save_objfrompytorch3d.structuresimportMeshesfrompytorch3d.utilsimportico_spherefrompytorch3d.opsimportsample_points_from_meshesfrompytorch3d.lossimport(chamfer_distance,mesh_edge_...
There are some changes to the interface of chamfer_distance to cope with heterogenous point clouds. |790eb8c The functionjoin_mesheshas been renamed tojoin_meshes_as_batch|b64fe51 Assets2 08 Mar 19:55 nikhilaravi v0.1.1 cf8e667
chamfer_distance/chamfer_distance.py:7 5 import torch 6 import torch.nn.functional as F ---> 7 from pytorch3d.ops.knn import knn_gather, knn_points 8 from pytorch3d.structures.pointclouds import Pointclouds 11 def _validate_chamfer_reduction_inputs( 12 batch_reduction: Union[str, None], ...
The function learns to incrementally deform a source mesh (sphere) to be more similar to the target mesh (e.g dolphin) and use a 3D loss functions, such as chamfer distance to guide the learning. Intermediate generation results are stored as a 2D image and finally a GIF of the generated...
>>> import pytorch3d.loss Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/afs/inf.ed.ac.uk/group/ug4-projects/s1735938/pytorch3d/pytorch3d/loss/__init__.py", line 4, in <module> from .chamfer import chamfer_distance File "/afs/inf.ed.ac.uk/...
MaskPlanner is a deep learning model for the quick generation of multiple, long-horizon paths from free-form 3D objects represented as point clouds. - MaskPlanner/pytorch3d_chamfer.py at main · gabrieletiboni/MaskPlanner
5.ChamferDistanceLossChamfer's distance between two given point clouds 6.CorrespondenceLossComputes cross entropy loss using the predicted correspondence and ground truth correspondence for each source point Copy the file from "examples" folder outside of the directory "learning3d" ...
Mesh: Triangle Distance, Chamfer Distance, Edge Length regularization, Laplacian regularization, Point to Surface distance, Normal consistency Point Cloud: Sided Distance, Chamfer Distance, Directed Distance Voxel Grid: Intersection Over Union (3D IoU), F-ScoreGetting...