A question
Dumeowmeow opened this issue · 1 comments
Dumeowmeow commented
Thank you for your great work!
I have some small quesiotns.
1.Is it only necessary to input the point cloud during inference? For the interface of input mesh in readme, do we need to convert mesh to point cloud before input?
2.And, during the training process, why we need to train the encoder with mesh? It seems that the encoder is not used during inference.
3.During the training process, the input of the decoder is mesh feature and point feature.But when inference,the input of the decoder is only the point feature? Why different?
buaacyw commented
- Basicly the input to transformer is always point cloud. If you input the mesh, we will extract point cloud from the mesh as input.
- Yes. It's trained with mesh and we don't need encoder for inference.
- The mesh feature will be generated by transformer.