CycleGAN is primarily used for:
Answer options
A
Unpaired image-to-image translation
B
Conditional text generation
C
Improving VAEs
D
Speech recognition
Correct answer: Unpaired image-to-image translation
Explanation
Quick AnswerThe correct answer is Unpaired image-to-image translation because it directly addresses the core logic of Generative AI.
CycleGAN performs unpaired image-to-image translation using cycle-consistency loss, allowing domain transfer (e.g., photos to paintings) without paired training examples.