Reading Assignment 12: Cycle Consistency

• Sarah Wolf’s blog post on “CycleGAN: Learning to Translate Images (Without Paired Training Data)”
• A tutorial on “Understanding and Implementing CycleGAN in TensorFlow” by Hardik Bansal and Archit Rathore

Optional Reading

• Website of the original paper “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks” by Zhu et al. with many examples
• “Learning Correspondence from the Cycle-Consistency of Time” by Wang et al.
• “Cycle-consistency training for end-to-end speech recognition” ny Hori et al.
• “Learning Dense Correspondence via 3D-guided Cycle Consistency” by Zhou et al.

Feel free to share additional papers or other resources you come across!