NVIDIA/pix2pixHD
A PyTorch implementation of conditional GANs for synthesizing and editing high-resolution photorealistic images from semantic label maps.
Not currently ranked — collecting fresh signals.
star history
This repository implements high-resolution image-to-image translation using conditional GANs, capable of generating 2048x1024 photorealistic images from semantic label maps. The model supports interactive editing for changing styles and object layouts in generated images. It is built in PyTorch and published at CVPR 2018 by NVIDIA and UC Berkeley researchers.
Frequently asked
- What is NVIDIA/pix2pixHD?
- A PyTorch implementation of conditional GANs for synthesizing and editing high-resolution photorealistic images from semantic label maps.
- Is pix2pixHD open source?
- Yes — NVIDIA/pix2pixHD is an open-source project tracked on heatdrop.
- What language is pix2pixHD written in?
- NVIDIA/pix2pixHD is primarily written in Python.
- How popular is pix2pixHD?
- NVIDIA/pix2pixHD has 6.9k stars on GitHub.
- Where can I find pix2pixHD?
- NVIDIA/pix2pixHD is on GitHub at https://github.com/NVIDIA/pix2pixHD.