CycleGAN Explained: Image-to-Image Translation Without Paired Data
中文摘要
本文详细解析CycleGAN，探讨无需配对数据的图像翻译技术，涵盖生成器、判别器、循环一致性损失及其实际应用。
English Summary
This article explains CycleGAN, focusing on image-to-image translation without paired data, covering its architecture, cycle consistency loss, training, and real-world applications.
Original Excerpt
Understanding Generators, Discriminators, Cycle Consistency Loss, Architecture, Training, and Real-World Applications Continue reading on Medium »