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This repo contains code to train a volumetric deep neural network to complete partially scanned 3D shapes. More information can be found in our paper .
CVPR'18 ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch.
Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han
PCN is a learning-based shape completion method which directly maps a partial point cloud to a dense, complete point cloud without any voxelization. It is based on our 3DV 2018 publication PCN: Point Completion Network. Please refer to our project website or read our paper for more details.
The main features of wentaoyuan/pcn are: Shape Completion.
Projects with overlapping indexed features include: angeladai/cnncomplete — This repo contains code to train a volumetric deep neural network to complete partially scanned 3D shapes. More… angeladai/scancomplete — [CVPR'18] ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. charlescxk/3d-sketchaware-ssc — Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. chriswu1997/multimodal-shape-completion — This repository provides PyTorch implementation of our paper:. colin97/msn-point-cloud-completion — [[paper]](http://cseweb.ucsd.edu/~mil070/projects/AAAI2020/paper.pdf) [[data]](https://drive.google.com/drive/folders/1… allenxiangx/snowflakenet — Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han.