… completion or extrapolation. We emphasize that the cycle consistency loss (Eq.4) is critical in
… Fig.3 shows the visual comparison of completion and extrapolation of masked images with …

… image-to-image translation task with unpaired images, which combines GANs and the cycle
consistency … of semantic segmentation by using image-to-image translation. CycleGAN looks …

… Our method does not require cycle consistency, so it can bypass unnecessary features.
Moreover, with the proposed adversarial-consistency loss, our method can explicitly encourage …

… Unpaired image-to-image translation using cycleconsistent adversarial networks. In
Proceedings of the IEEE international conference on computer vision, pages 2223– 2232, 2017. 3 …

… of image-to-image translation, enforcing cycle consistency … Several methods exploit the
idea of cycle consistency for semantic … cycle consistency. The FlowWeb [30] method learns …

… a cycle consistency loss to regularize the training parameters of these two networks. In this
way, the completion … In this paper, we use real-world image patches to define noisy ui. This …

… Also, due to the lack of good quantitative metrics for image completion, we propose the new
… in free-form image completion and easy generalization to image-to-image translation. Code …

… Inverse GAN (CI-GAN) for both text-to-image generation and text-guided image … for each
image, where we introduce the cycle-consistency training to learn more robust and consistent …

… Since the multi-view cycle consistent loss assists the generator in mapping a given sample …
cycle consistent loss to guarantee a desired output effectively. The multi-view cycle consistent …

… of enforcing the cycle consistency constraint in multi-image matching, we propose to extend
it to both multi-descriptor and multi-image setting as well. The cycle consistency between …