TUM Computer Vision Group

dvo

Dense Visual Odometry

dvo_slam

Dense Visual Odometry and SLAM

fastfusion

Volumetric 3D Mapping in Real-Time on a CPU

LDSO

DSO with SIM(3) pose graph optimization and loop closure

lsd_slam

LSD-SLAM

mono_dataset_code

Code for Monocular Visual Odometry Dataset - https://vision.cs.tum.edu/data/datasets/mono-dataset

online_photometric_calibration

Implementation of online photometric calibration (https://vision.in.tum.de/research/vslam/photometric-calibration)

pnec

[CVPR 2022] README.md The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions

tandem

[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo

tum_ardrone

Repository for the tum_ardrone ROS package, implementing autonomous flight with PTAM-based visual navigation for the Parrot AR.Drone.

tum-vision/lsd_slam

LSD-SLAM

tum-vision/tandem

[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo

tum-vision/LDSO

DSO with SIM(3) pose graph optimization and loop closure

tum-vision/dvo_slam

Dense Visual Odometry and SLAM

tum-vision/online_photometric_calibration

Implementation of online photometric calibration (https://vision.in.tum.de/research/vslam/photometric-calibration)

tum-vision/mono_dataset_code

Code for Monocular Visual Odometry Dataset - https://vision.cs.tum.edu/data/datasets/mono-dataset

tum-vision/tum_ardrone

Repository for the tum_ardrone ROS package, implementing autonomous flight with PTAM-based visual navigation for the Parrot AR.Drone.

tum-vision/pnec

[CVPR 2022] README.md The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions

tum-vision/fusenet

This repository is the official release of the code for the following paper "FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture" which is published at the 13th Asian Conference on Computer Vision (ACCV 2016).

tum-vision/intrinsic-neural-fields

[ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds

tum-vision/DEVO

[3DV '24] Deep Event Visual Odometry

tum-vision/dbatk

Distributed Bundle Adjustment Toolkit

tum-vision/fastms

Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional

tum-vision/ardrone_autonomy

This is a slightly modified version of the official ardrone_autonomy package, which You can find here: https://github.com/AutonomyLab/ardrone_autonomy

tum-vision/learn_prox_ops

Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"

tum-vision/prost

A fast and flexible convex optimization framework based on proximal splitting

tum-vision/tum_simulator

tum-vision/afs

Automatic Feature Selection

tum-vision/povar

tum-vision/rgbd_scribble_benchmark

RGB-D Scribble-based Segmentation Benchmark

tum-vision/autonavx_ardrone

Code for AR.Drone Exercises

tum-vision/sublabel_relax

Code for sublabel-accurate multi-labeling papers (published at CVPR '16, ECCV '16)

tum-vision/csd_lmnn

Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval

tum-vision/hierahyp

tum-vision/mem

Masked Event Modeling: Self-Supervised Pretraining for Event Cameras (WACV '24)

tum-vision/dca

Source code for the NeurIPS 2022 paper "Deep Combinatorial Aggregation"

tum-vision/flbo

tum-vision/lgm

Implementation of Layered Graphical Model with demo code

tum-vision/nnascg

Source code for experiments in paper "Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs" by Yuesong Shen and Daniel Cremers.

tum-vision/gn_loss_analytical