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
The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations. It covers over 6,000 m2 collected in 6 large-scale indoor areas that originate from 3 different buildings. It contains over 70,000 RGB…
This repo contains training and testing code for our paper on semantic scene completion, a task for producing a complete 3D voxel representation of volumetric occupancy and semantic labels for a scene from a single-view depth map observation. More information about the project can be found in…
Die Hauptfunktionen von shurans/sscnet sind: Scene Understanding, Shape Completion.
Open-Source-Alternativen zu shurans/sscnet sind unter anderem: allenxiangx/snowflakenet — Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han. 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:. alexsax/2d-3d-semantics — The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with…