jtpils Goto Github PK

cuda_cloudprojection

A CUDA version of point cloud projection and rasterization

cuda_voxelizer

Experimental CUDA voxelizer, to convert polygon meshes to annotated voxel grids.

cudapcl

depth image processing using CUDA

cunsearch

A C++/CUDA library to efficiently compute neighborhood information on the GPU for 3D point clouds within a fixed radius.

curansac

Estimate the global pose of one point-set (or graph) relative to another, using cuda

curated-list-of-awesome-3d-morphable-model-software-and-data

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

curb-detection

A C++ based library for curb detection

curb_detection

based on the paper A real-time curb detection and tracking method for UGVs by using a 3D-LIDAR sensor

curbdetector

Curb detector for HDL-64E.

curbnet

A neural network designed to identify and segment curbs and cut curbs from street imagery

curcatures-estimation-on-point-clouds

Calculate the curvature of every point in he discrete point cloud and visualize the data from ModelNet40.(http://modelnet.cs.princeton.edu/)

curvature

Tools for calculating the curvature of a line, surface and 3D mesh

curve-fitting

curve-gcn

Official PyTorch code for Curve-GCN (CVPR 2019)

curvedlanedetection

An old experimental implementation of curved lane detection using OpenCV, RANSAC, DBSCAN etc

cut_3d_point_cloud

cut 3D point cloud by select the region

cutmix-pytorch

Official Pytorch implementation of CutMix regularizer

cv_kinnect_point_clouds

Final CV project on kinnect 3D pointclouds reconstruction

cv_tool

📝 包括常用数据预处理方法，以及经典实例

cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

cvpr2018-shape-completion

CVPR 2018 paper "Learning 3D Shape Completion from Laser Scan Data with Weak Supervision".

cvpr2018_attention

Context Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark

cvpr2018papers

Download CVPR2018 Papers

cvpr2019_pyramid-feature-attention-network-for-saliency-detection

code and model of Pyramid Feature Selective Network for Saliency detection

cw3-point-cloud-hell

cwi-pcl-codec

Point Cloud Codec invented by Rufael Mekuria, based on PCL (Point Cloud Library)

cwipc_util

CWI Point cloud object utility library

cylinderdetection

Implementation of my article "Connectivity-based Cylinder Detection in Unorganized Point Clouds"

cylsegment

Segment point clouds into cylinder shapes based on constrained region growing

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。