TUM Computer Vision Group

lsd_slam

LSD-SLAM

tandem

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

LDSO

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

dvo_slam

Dense Visual Odometry and SLAM

online_photometric_calibration

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

mono_dataset_code

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

tum_ardrone

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

pnec

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

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).

intrinsic-neural-fields

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

dbatk

Distributed Bundle Adjustment Toolkit

fastms

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

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

DEVO

[3DV '24] Deep Event Visual Odometry

learn_prox_ops

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

tum_simulator

prost

A fast and flexible convex optimization framework based on proximal splitting

afs

Automatic Feature Selection

rgbd_scribble_benchmark

RGB-D Scribble-based Segmentation Benchmark

autonavx_ardrone

Code for AR.Drone Exercises

sublabel_relax

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

csd_lmnn

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

mem

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

hierahyp

dca

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

flbo

lgm

Implementation of Layered Graphical Model with demo code

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.

gn_loss_analytical

povar