Papers with Code 아카이브
Unsupervised Image-To-Image Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 2
- 보존된 평가 기록
- 7
Unsupervised image-to-image translation is the task of doing image-to-image translation without ground truth image-to-image pairings.
<span style="color:grey; opacity: 0.6">( Image credit: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yunjey/mnist-svhn-transfer
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/yuzhenmao/MI_P2V
MCMI: Multi-Cycle Image Translation with Mutual Information Constraints
https://github.com/yxue3357/CycleGAN_pt
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/yxue3357/CycleGAN_tf
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/yxue3357/Mask-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/zcemycl/Matlab-GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/zeka-io/selfi-to-anime
https://github.com/zeka-io/selfie-to-anime
https://github.com/zhouZhouYUI/UGATIT_paddle
https://github.com/zhuo931077127/CycleGAN_practice
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://gitlab.com/nct_tso_public/laparoscopic-image-2-image-translation
https://gitlab.com/nct_tso_public/surgical-video-sim2real
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.