This is the Linux app named pix2pixHD whose latest release can be downloaded as pix2pixHDsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
pix2pixHD
DESCRIPTION:
pix2pixHD is a PyTorch-based implementation of a conditional generative adversarial network designed for high-resolution image-to-image translation, capable of producing photorealistic outputs at resolutions up to 2048×1024. It is widely used to convert structured inputs such as semantic label maps into realistic images, making it particularly valuable in applications like autonomous driving simulation, face synthesis, and scene generation. The model improves upon earlier GAN approaches by introducing multi-scale generators and discriminators that enable stable training and fine detail generation at large resolutions. It also supports interactive editing, allowing users to modify semantic regions and regenerate images with realistic adjustments.
Features
- High-resolution image-to-image translation up to 2K resolution
- Conditional GAN architecture with multi-scale generators
- Semantic label map to photorealistic image conversion
- Interactive image editing capabilities
- Support for portrait and scene synthesis
- PyTorch-based implementation for extensibility
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/pix2pixhd.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.