30 repository-uri
Awesome GitHub RepositoriesShape Completion
Techniques for reconstructing missing geometry and semantic scene completion.
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Awesome Shape Completion GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- knazeri/edge-connect
knazeri/edge-connect
2,617Vezi pe GitHubArXiv | 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…
Structure-guided image inpainting using edge prediction.
Python - yuxumin/pointr
yuxumin/PoinTr
ICCV 2021 Oral PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Diverse point cloud completion using geometry-aware transformers.
Python - cv-rits/monoscene
cv-rits/MonoScene
MonoScene: Monocular 3D Semantic Scene Completion\ Anh-Quan Cao, Raoul de Charette Inria, Paris, France. CVPR 2022 \
Monocular 3D semantic scene completion.
Python - wentaoyuan/pcn
wentaoyuan/pcn
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.
Point completion network for 3D shape reconstruction.
Python - colin97/msn-point-cloud-completion
Colin97/MSN-Point-Cloud-Completion
[paper](http://cseweb.ucsd.edu/~mil070/projects/AAAI2020/paper.pdf) [data](https://drive.google.com/drive/folders/1X143kUwtRtoPFxNRvUk9LuPlsf1lLKI7?usp=sharing)
Morphing and sampling network for dense point cloud completion.
Python - rabbityl/deformingthings4d
rabbityl/DeformingThings4D
DeformingThings4D is an synthetic dataset containing 1,972 animation sequences spanning 31 categories of humanoids and animals.
Non-rigid motion estimation for 4D shape completion.
Python - shurans/sscnet
shurans/sscnet
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…
Semantic scene completion from single depth images.
Jupyter Notebook - angeladai/scancomplete
angeladai/ScanComplete
CVPR'18 ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Large-scale scene completion and semantic segmentation.
Python - lynetcha/completion3d
lynetcha/completion3d
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.
Structural point cloud decoder for shape completion.
Python - allenxiangx/snowflakenet
AllenXiangX/SnowflakeNet
Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han
Completion via snowflake point deconvolution and skip-transformers.
Python - angeladai/cnncomplete
angeladai/cnncomplete
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 .
Shape completion using encoder-predictor CNNs.
C++ - isarmad/rl-gan-net
iSarmad/RL-GAN-Net
Official Repository of CVPR 2019 Paper : RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
Reinforcement learning agent for real-time shape completion.
Python - silviogiancola/shapecompletion3dtracking
SilvioGiancola/ShapeCompletion3DTracking
Supplementary Code for the CVPR'19 paper entitled Leveraging Shape Completion for 3D Siamese Tracking
Leveraging shape completion for 3D Siamese tracking.
Python - open-air-sun/sisc
OPEN-AIR-SUN/SISC
New Repo
Semi-supervised implicit scene completion from sparse LiDAR.
Python - chriswu1997/multimodal-shape-completion
ChrisWu1997/Multimodal-Shape-Completion
This repository provides PyTorch implementation of our paper:
Multimodal completion using conditional generative adversarial networks.
Python - waterljwant/ssc
waterljwant/SSC
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
Anisotropic convolutional networks for semantic scene completion.
Python - xuelin-chen/pcl2pcl-gan-pub
xuelin-chen/pcl2pcl-gan-pub
Implementation of ICLR 2020 paper (link) .
Unpaired point cloud completion using adversarial training.
Python - charlescxk/3d-sketchaware-ssc
charlesCXK/3D-SketchAware-SSC
Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch.
Sketch-aware semantic scene completion using structure priors.
Python - wangyida/forknet
wangyida/forknet
The implementation of our paper accepted in ICCV 2019 (International Conference on Computer Vision, IEEE)
Multi-branch volumetric semantic completion from depth images.
Python - davidstutz/cvpr2018-shape-completion
davidstutz/cvpr2018-shape-completion
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.
Weakly supervised learning for 3D shape completion.
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