Books
Beschaffung
Drawing Machine
Twice Faster Pen Plotter
ESP 32 DEVKIT V1
ESP32 Devkit DOIT V1 mit aufgespielter Firmware für ein WiFi Handrad in Kombination mit dem OPEN-CNC-Shield 2 oder dem ColdEnd32.
ESP32-CAM Board
ESP32 board including: Prozessor: ESP32-Chip mit 240 MHz Dual-Core Prozessor und 448 KB SRAM Kamera: OV2640 2 Megapixel
Everything Stable Diffusion
A latent text-to-image diffusion model. You'll find here different installation instructions for different git repositories
Going abroad
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
Jupyter Hub
LOL workstations
The workstations WS-01 and WS-02 can be freely used while being in the LOL. If you are not here, and still want to use our computers, connect to them using our LOLBot. Once the computer has been waken up, you can use AnyDesk to remote control the computer. AnyDesk Codes: WS-01: 1 671 912 756 WS-02: 460 862 585 once you connect to any of thesse computers, you'll get asked for a password. For both workstations, the password is #lolab123# The user password for both computer is lolab
Organisatorisches
SoSe23Adversarial Animation
Observing the movements of an ant on a beach, Herbert Simon once noted: “Viewed as a geometric figure, the ant’s path is irregular, complex, hard to describe. But its complexity is really a complexity in the surface of the beach, not a complexity in the ant.” This project is about moving images whose complexity arises from such interactions – interactions between things and their environments but also between things and other things. We will look at artificial life and artificial intelligence for image-making, at agent-based simulations, virtual evolution and adversarial images in deep learning. And we will apply these systems to the design of animations. This work will be done in collaboration with students from three European schools: Academy of Media Arts Cologne (KHM), Vilnius Gediminas Technical University, and Tampere University of Applied Sciences.
StyleGAN3, StyleGAN-fun, dragGAN
Alias-Free Generative Adversarial Networks
Upscaling ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
UR3e 🦾
industrial collaborative robot arm