tum-vision/dca

Stars
4
Rank 3,304,323 (Top 66 %)
Language
Python
Created about 2 years ago
Updated almost 2 years ago

tum-vision/dca

tum-vision

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

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

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

fastfusion

Volumetric 3D Mapping in Real-Time on a CPU

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.

dvo

Dense Visual Odometry

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).

pnec

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

captcha_recognition

intrinsic-neural-fields

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

Jupyter Notebook

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

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

autonavx_web

interactive exercises for AUTONAVx course

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

rgbd_demo

Simple ROS demo for processing RGB-D data

mem

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

kfusion_ros

ROS integration for kfusion

openni2_camera

OpenNI2 camera node for ROS

articulation

articulation models

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.

lgm

Implementation of Layered Graphical Model with demo code

flbo

hierahyp