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
This repository contains source code for all methods used for the Stanford 3D Object Point Cloud Completion Benchmark and presented in the paper TopNet: Structural Point Cloud Decoder, CVPR 2019.
The main features of lynetcha/completion3d are: Shape Completion.
Open-source alternatives to lynetcha/completion3d 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.