Dense Prediction Transformers

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)

High Quality Monocular Depth Estimation via Transfer Learning

Official implementation of Adabins: Depth Estimation using adaptive bins

[ICCV 2019] Monocular depth estimation from a single image

Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

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

Code release for 360monodepth. With our framework we achieve monocular depth estimation for high resolution 360° images based on aligning and blending perspective depth maps.

This repository provides PyTorch implementation for 3DV 2018 paper "MVDepthNet: real-time multiview depth estimation neural network"

Object Depth via Motion and Detection Dataset

Code for the SIGGRAPH 2021 paper "Consistent Depth of Moving Objects in Video".

Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.

MultiViewStereoNet: Fast Multi-View Stereo Depth Estimation using Incremental Viewpoint-Compensated Feature Extraction

Visual localization made easy with hloc

A Robust and Versatile Monocular Visual-Inertial State Estimator

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.