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.
الميزات الرئيسية لـ lynetcha/completion3d هي: Shape Completion.
تشمل البدائل مفتوحة المصدر لـ lynetcha/completion3d: 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.
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