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

A curated list of awesome Deep Stereo Matching resources

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

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

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

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 diffusion model-based stereo depth estimation framework that can predict and restore noisy depth maps for transparent and specular surfaces

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.

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.

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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"

Monocular and Stereo depth estimation ROS 2 package

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

Getting a stereo camera to calculate metric depths on YOLOv8 outputs.

A stereo camera system for generating a real-time depth-map and 3D point cloud.

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

Stereo Depth Estimation is a computer vision project that extracts depth information from a pair of images captured from two slightly different viewpoints. The goal is to understand how far objects are from the cameras by comparing the differences between the left and right images.

3D reconstruction flow for stereo cameras

A minimal code example for stereo depth estimation

Computer vision assignments that encompass both foundational and advanced principles.

Project for the EL7008 Advanced Image Processing course, Spring 2020, at the Faculty of Mathematical and Physical Sciences of the Universidad de Chile.