Awesome GitHub RepositoriesShape Completion

ArXiv | BibTex We develop a new approach for image inpainting that does a better job of reproducing filled regions exhibiting fine details inspired by our understanding of how artists work: lines first, color next. We propose a two-stage adversarial model EdgeConnect that comprises of an edge…

ICCV 2021 Oral PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

MonoScene: Monocular 3D Semantic Scene Completion\ Anh-Quan Cao, Raoul de Charette Inria, Paris, France. CVPR 2022 \

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.

[paper](http://cseweb.ucsd.edu/~mil070/projects/AAAI2020/paper.pdf) [data](https://drive.google.com/drive/folders/1X143kUwtRtoPFxNRvUk9LuPlsf1lLKI7?usp=sharing)

DeformingThings4D is an synthetic dataset containing 1,972 animation sequences spanning 31 categories of humanoids and animals.

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…

CVPR'18 ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

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.

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 .

Official Repository of CVPR 2019 Paper : RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

Supplementary Code for the CVPR'19 paper entitled Leveraging Shape Completion for 3D Siamese Tracking

New Repo

This repository provides PyTorch implementation of our paper:

AICNet (CVPR2020): Anisotropic Convolutional Networks for 3D Semantic Scene Completion - DDRNet (CVPR2019): RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion - PALNet (RAL2019): Depth Based Semantic Scene Completion with Position Importance Aware Loss

Implementation of ICLR 2020 paper (link) .

Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch.

The implementation of our paper accepted in ICCV 2019 (International Conference on Computer Vision, IEEE)

Note: An updated and improved version of this approach is available as pre-print on ArXiv and the corresponding repository is davidstutz/arxiv2018-improved-shape-completion.