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TU Wien
- Vienna
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21:22
(UTC +01:00) - https://philipperler.net/
- https://orcid.org/0000-0002-2790-9279
Highlights
- Pro
Stars
Geometric loss functions between point clouds, images and volumes
deepbeepmeep / Wan2GP
Forked from Wan-Video/Wan2.1A fast AI Video Generator for the GPU Poor. Supports Wan 2.1/2.2, Qwen Image, Hunyuan Video, LTX Video and Flux.
Explaining 1D Convolutional Neural Networks trained on NIR data of pine wood samples: This repository contains the code for my master's thesis.
OpenTTD is an open source simulation game based upon Transport Tycoon Deluxe
A Robust LiDAR-Inertial Odometry for Livox LiDAR
VGTHuang / meshplot_tempfix
Forked from skoch9/meshplotPlot 3D triangle meshes; edited viewer so that offline html display does not yield errors related to jupyter-widget
fork of http://www.ninjacrab.com/persistent-windows/ with windows 10 update
RQ Chains is a tiny Python library that extends RQ (Redis Queue) with a publisher-subscriber model for job chains.
LidarScout Training (HPG 2025): Instant exploration of huge aerial Lidar scans
LidarScout (HPG 2025): Instant exploration of huge aerial Lidar scans
Space exploration, trading, and combat game.
A compendium of computational experiments for my PhD in computer graphics. Forked from PMP (Polygon Mesh Processing) library
CUDA accelerated rasterization of gaussian splatting
Open3D: A Modern Library for 3D Data Processing
Visual localization made easy with hloc
Download market data from Yahoo! Finance's API
The free and open source karaoke singing game UltraStar Deluxe, inspired by Sony SingStar™
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
A C++ header-only parser for the PLY file format. Parse .ply happily!
This is a mirror of the latest stable version of Triangle.
Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io
Code snippets created for the PyTorch discussion board
Tensors and Dynamic neural networks in Python with strong GPU acceleration