Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Small Python utility to compare and visualize the output of various stereo depth estimation algorithms

Python scripts performing stereo depth estimation using the CREStereo model in ONNX.

[CVPR 2023 Highlight] The Official Code for High-Frequency Stereo Matching Network

A curated list of awesome Deep Stereo Matching resources

Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch .

Python scripts performing stereo depth estimation using the Fast-ACVNet model in ONNX.

Python scripts for performing stereo depth estimation using the MobileStereoNet model in ONNX

Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite.

Python scripts for generating synthetic stereo depth data using the UnrealCV library.

Python scripts form performing stereo depth estimation using the CoEx model in ONNX.

CGI-Stereo Python Inference Demo

TF2 implementation of "End-to-End Learning of Geometry and Context for Deep Stereo Regression"

This project focuses on harnessing the power of Pseudo-LiDARs and 3D computer vision for unmanned aerial vehicles (UAVs). By integrating Pseudo-LiDAR technology with Stereo Global Matching (SGBM) algorithms, we aim to enable UAVs to perceive their surroundings in three dimensions accurately.

Python scripts for performing stereo depth estimation using the MobileStereoNet model in Tensorflow Lite.

2nd Assignment of Computer Vision by José Rosa and Ricardo Silva