pix2pix
Discover how conditional adversarial networks enable efficient image-to-image translation, converting input images into desired outputs with minimal resources. This method supports quick training on small datasets, achieving satisfactory results in creating visual models like architectural facades. Suitable for various applications, it uses multiple datasets, covering scenarios from urban to natural settings. The PyTorch version provides ongoing enhancements, offering performance that matches or exceeds the initial implementation.
