Chen Zhao's repositories
LocPoseNet
Office implementation of "LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation", 3DV 2024
awesome-point-cloud-analysis-2021
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
clean-pvnet
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
cvlab-kubernetes
EPFL CVLab Kubernetes tutorials with true training examples 🤩
graph-cut-ransac
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
latentfusion
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
NOCS_CVPR2019
[CVPR2019 Oral] Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation on Python3, Tensorflow, and Keras
ObjectPoseEstimationSummary
Resources (papers, datasets, rendering methods) in the domain of object pose estimation.
poster_template
some academic posters as references. May we have in-person poster session soon!
PVN3D
Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020
pydegensac
Advanced RANSAC (DEGENSAC) with bells and whistles for H and F estimation
pymagsac
MAGSAC: marginalizing sample consensus, python version
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
RotationContinuity
Coder for "On the Continuity of Rotation Representations"
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
vnn
Vector Neurons: A General Framework for SO(3)-Equivariant Networks