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deformable-convnets

Deformable Convolutional Networks

deformable-convolution-pytorch

PyTorch implementation of Deformable Convolution

deformationgraph

A implemetation of deformation graph which was widely used in mesh deformation and non-rigid reconstruction

densematchingbenchmark

Dense Matching Benchmark

depthcomplete

Pytorch implementation of depth completion architectures (eg. SparseConv, Sparse-to-Dense)

depthmap_dataset

Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.

dsmnet

Domain-invariant Stereo Matching Networks

edocr

A packaged OCR system for mechanical engineering drawings based on keras-ocr

fadnet

ganet

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

gasda

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation, CVPR 2019

gc-net

gc-net for stereo matching by using pytorch

guided-stereo

CVPR 2019 - Guided Stereo Matching

gwcnet

Group-wise Correlation Stereo Network, CVPR 2019

iresnet

Reproduces iresNet in Pytorch

iresnet-1

irs

IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation

kitti_depthmap

module for converting raw lidar in kitti to depthmap

lgc-tensorflow

We propose to exploit nearby and farther clues available from image and disparity domains to obtain a more accurate confidence estimation. While local information is very effective for detecting high frequency patterns, it lacks insights from farther regions in the scene. On the other hand, enlarging the receptive field allows to include clues from farther regions but produces smoother uncertainty estimation, not particularly accurate when dealing with high frequency patterns. For these reasons, we propose a multi-stage cascaded network to combine the best of the two worlds.

libsgm

Stereo Semi Global Matching by cuda

light-structure-from-pin-motion

This is the project page for our ECCV 2018 paper 'Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling' by Hiroaki Santo, Michael Waechter, Masaki Samejima, Yusuke Sugano, and Yasuyuki Matsushita.

mapbox-base

Mapbox Base C++ Libraries

meshcutting

Provide boolean operations for objects of different dimensions.

mirnet

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

monopsr

Monocular 3D Object Detection

mvsnet

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

mvsnet_pl

MVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning

mvsnet_pytorch

PyTorch Implementation of MVSNet

nconv

A PyTorch implementation for our work "Confidence Propagation through CNNs for Guided Sparse Depth Regression"

nlspn_eccv20

Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020