muxamilian/city-gan
City-GAN is a Generative Adversarial Neural Network that generates typical facades of various cities around the world.
This tool helps urban planners, architects, or digital artists visualize and generate typical building facades for various cities. You input a city name or a mix of city styles, and it outputs new, realistic building facade images that capture the essence of those urban environments. This is useful for design inspiration or creating diverse architectural assets.
No commits in the last 6 months.
Use this if you need to quickly generate architecturally distinct building facades based on real-world city styles for design projects, simulations, or artistic endeavors.
Not ideal if you need to create highly detailed, photorealistic renders for specific construction projects or if you require precise control over individual architectural elements.
Stars
19
Forks
7
Language
Python
License
—
Category
Last pushed
Mar 22, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/muxamilian/city-gan"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PrasannaPulakurthi/MMD-AdversarialNAS-GAN
Enhancing GAN Performance Through Neural Architecture Search and Tensor Decomposition
aakashjhawar/AvatarGAN
Generate Cartoon Images using Generative Adversarial Network
samresume/SeriesGAN
We introduce an advanced framework that integrates the advantages of an autoencoder-generated...
nazmul-karim170/SPI-GAN
PyTorch Implementation of "SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network"
davide-abbattista/outGANfit
outGANfit - a cDCGANs-based architecture