open source

Pix2Pix

Provided by: Framework: TensorFlow

Pix2Pix is an open-source image-to-image translation model developed by researchers at UC Berkeley. Based on conditional GANs and implemented in TensorFlow and PyTorch, Pix2Pix can convert sketches, segmentation maps, or black-and-white photos into realistic images. Widely used for artistic rendering, style transfer, and data augmentation, it’s a foundational model in generative vision tasks.

Model Performance Statistics

16

Views

March 2, 2017

Released

Jul 20, 2025

Last Checked

v1

Version

Capabilities
  • Image Translation
Performance Benchmarks
FIDVaries by task
Resolution256x256
Technical Specifications
Parameter Count
N/A
Training & Dataset

Dataset Used

Cityscapes, Facades

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