viscom-ulm Goto Github PK

bluenoiseplots

Python implementation of Blue Noise Plots, a novel replacement for jitter plots, published at Eurographics 2021.

deepem

dvao

Official PyTorch implementation of Deep Volumetric Ambient Occlusion (D. Engel and T. Ropinski, IEEE TVCG 2020), presented at IEEE VIS SciVis 2020.

example-data

explornn

ginn

Deep-learning the Latent Space of Light Transport

immersight-tools

implicit-electron-tomography

llmmaps

A visual metaphor for stratified evaluation of large language models

mccnn

Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

missing-coordinates

Parallel Coordinates with Missing Data.

monoculardepthdecomposition

Official Implementation of the paper "Monocular Depth Decomposition of Semi-Transparent Volume Renderings" by Engel et al., to be published in IEEE TVCG 2023

multicamera-calibration

net2vis

Automatic neural network visualizations generated in your browser!

panorama-generator

pointcloudviewer

Viewer for point clouds.

presentation-viewer

Application to show presentations (delivered as a series of `.png' Files) on the Powerwall of the Visual Computing Group at Ulm University.

pyviscom

shared_texture

test_exercise

tuio11_cpp

C++ TUIO 1.1 reference implementation

viscom_framework

Basic framework for the Visual Computing Group of Ulm University.

viscom_framework_core

Core functionality of the VISCOM Framework of the Visual Computing Group of Ulm University.

viscom_framework_sgct

The Simple Graphics Cluster Toolkit is a framework to support the development of non-standard display environments, such as fisheye rendering or cluster systems

viscomlab_reactiondiffusion

Reaction diffusion simulator for the projection wall in the Ulm University VISCOM lab.

wscd