Pinned Repositories
3D-BoNet
3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
3D-IWGAN
A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
3D-point-cloud-generation
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction :grapes: (AAAI 2018)
3D-R2N2
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
3D-Reconstruction-with-Neural-Network
List of projects for 3d reconstruction
3D-Semantic-Mapping
This is part of my semester project taken in Computer Vision & Geometry Lab, ETH Zurich, Switzerland, aiming to create a pipeline for real-time 3D semantic mapping. The whole system is built on InfiniTAM V3 and new module: semantic fusion has been added.
3D_Conditional_Gan
The codes of VAE-GAN model for 3d shape reconstruction from depth data
3D_Shape_Reconstruction
A variational-auto-encoder for 3-D point cloud shape reconstruction.
CSPN
Convolutional Spatial Propagation Network
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
ITking666's Repositories
ITking666/A-Simple-Stereo-SLAM-System-with-Deep-Loop-Closing
A simple stereo SLAM system with deep loop closing module. May be useful and friendly for SLAM beginners.
ITking666/badslam
Bundle Adjusted Direct RGB-D SLAM
ITking666/cube_slam
CubeSLAM: Monocular 3D Object Detection and SLAM
ITking666/DAIN
Depth-Aware Video Frame Interpolation (CVPR 2019)
ITking666/deepDSO
ITking666/DeepFactors
Real-Time Probabilistic Dense Monocular SLAM Using Compact Code Representation
ITking666/deeploopclosure-slam
ITking666/DefSLAM
DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. J.Lamarca, S. Parashar, A. Bartoli & J.M.M. Montiel
ITking666/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
ITking666/depth-refinement-and-normal-estimation
A graph-based framework to refine a noisy and possibly incomplete depth map and estimate the corresponding normal map.
ITking666/detr
End-to-End Object Detection with Transformers
ITking666/models
Models and examples built with TensorFlow
ITking666/mono-uncertainty
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
ITking666/Normal-Assisted-Stereo
[CVPR 2020] Normal Assisted Stereo Depth Estimation
ITking666/odometry
Training Deep SLAM on Single Frames https://arxiv.org/abs/1912.05405
ITking666/opencv_contrib
Repository for OpenCV's extra modules
ITking666/OpenREALM
OpenREALM is a pipeline for real-time aerial mapping utilizing visual SLAM and 3D reconstruction frameworks.
ITking666/pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
ITking666/PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data.
ITking666/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
ITking666/ReconNet-PyTorch
A non-iterative algorithm to reconstruct images from compressively sensed measurements.
ITking666/RidgeSfM
Ridge SfM Structure from Motion via robust pairwise matching under depth uncertainty
ITking666/saic_depth_completion
Official implementation of "Decoder Modulation for Indoor Depth Completion" https://arxiv.org/abs/2005.08607
ITking666/Semantic_SLAM-1
Semantic SLAM using ROS, ORB SLAM, PSPNet101
ITking666/SGDepth
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
ITking666/stereo-from-mono
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
ITking666/supersurfel_fusion
Dense RGB-D SLAM system RGB-D SLAM articulated around a supersurfel-based 3D representation for fast, lightweight and compact mapping in indoor environment.
ITking666/TernausNetV2
TernausNetV2: Fully Convolutional Network for Instance Segmentation
ITking666/TorchSSC
Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)
ITking666/voxblox-plusplus
A volumetric object-level semantic mapping framework.