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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.

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.

acan

Attention-based Context Aggregation Network for Monocular Depth Estimation

armneonoptimization

Arm neon optimization practice

attsets

AttSets in Tensorflow (IJCV 2019)

badslam

Bundle Adjusted Direct RGB-D SLAM

baidu-netdisk-downloaderx

⚡️ 一款图形界面的百度网盘不限速下载器，支持 Windows、Linux 和 Mac。

btotcode

Matlab code for the paper "Remote sensing image compression based on binary tree and optimized truncation" published on Digital Signal Processing, 2017

burstimagedenoising

Fast burst images denoising project

caffe

Caffe: a fast open framework for deep learning.

calc

Convolutional Autoencoder for Loop Closure

calc2.0

CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure

cameracalibration

A Repository detailing camera calibration

carnd-camera-calibration

Images and notebook for camera calibration

cc

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

cnn-dso

Direct Sparse Odometry with CNN Depth Prediction

cnn-slam

The combination of CNN and SLAM, aiming to achieve a better result of traditional geometric-based SLAM architecture.

cnn-svo

Real-time motion from structure

cnn_lcd

CNNs for Loop-Closure Detection on the Oxford New College and City Centre Datasets

cnn_slam

CNN SLAM implementation of https://arxiv.org/abs/1704.03489

co-vins

Collaborative Localization for Multiple Monocular Visual-Inertial Systems

colorgan

confidencemap