Pytorch version of SfmLearner from Tinghui Zhou et al.
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Updated
Jan 23, 2023 - Python
Pytorch version of SfmLearner from Tinghui Zhou et al.
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
Keras code of my ICRA 2018 paper "Fast Disparity Estimation using Dense Networks"
Attention-based View Selection Networks for Light-field Disparity Estimation
simplified struct2depth in PyTorch
depth map computation
In this project, we try to implement the concept of Stereo Vision. We test the code on 3 different datasets, each of them contains 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of obje…
DispNet3, FlowNet3, FlowNetH, SceneFlowNet -- in Docker
Measuring disparity with R
Computes various geospatial indices of socioeconomic deprivation and disparity in the United States
Official repository for "Depth estimation from 4D light field videos", IWAIT 2021
Tensorflow implementation of https://lmb.informatik.uni-freiburg.de/Publications/2016/MIFDB16 + pretrained weights + implementation of "Unsupervised Adaptation for Deep Stereo" (ICCV 2017)
“Disparitybased space-variant image deblurring,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 792–808, 2013.
C++ implementation of PatchMatch Stereo for images
Improved-PSMNet: Combining PSM, group-wise corr, dilatedResNet, segmentation to estimate accurate disparity of stereo image pairs efficiently.
viewer for disparity data in npy file format
Disparity and depth maps GUI with QT and OpenCV with support for classic image files and MPO stereo pairs
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