Pix2Pix
UC Berkeley
• Framework: TensorFlowPix2Pix 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.
Pix2Pix AI Model

Model Performance Statistics
Views
Released
Last Checked
Version
- Image Translation
- Parameter Count
- N/A
Dataset Used
Cityscapes, Facades
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