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/alililia/vision/tree/main/CycleGAN-MS
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/alpc91/transda
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
https://github.com/anglihust/Unsupervised-vessel-segmentation
https://github.com/anjalipemmaraju/cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/antoinedemathelin/wann
https://github.com/arnab39/cycleGAN-PyTorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/arnavdodiedo/dog2sketch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/arnavdodiedo/sketch2face
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/arobey1/mbrdl
https://github.com/ashura1234/soccer-line-detection
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/asmerdov/DataCollectionSystem
https://github.com/asraman9792/Generative-Adversarial-Networks-implementation-of-KERAS
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/avellal14/AI-for-Art
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/avivga/lord-pytorch
https://github.com/bareeka/ganproject
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/caoquanjie/ADDA-master
https://github.com/carnotaur/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/casey-barr/generative-models-in-tensorflow
https://github.com/chao-ji/image-translation
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/chenkang121/DANN
https://github.com/chipsi/FUNIT
https://github.com/cleye/FUNIT-Fringe
https://github.com/cloudwaysx/cyclegan-tensorflow_pixie
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/corenel/pytorch-adda
https://github.com/cryu854/CUT
https://github.com/cvfx-2019/homework1-color-transfer
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/cvp19g2/cvp19g2
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/cydessole/AnimeLife
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/daintlab/ct-denoising
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/dantecomedia/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/dbash/CycleGAN3D
https://github.com/deepakprabakar96/DTN
https://github.com/delta6189/AttentionGAN
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
https://github.com/dgedon/CycleGAN-for-Emojis
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/dhassault/cyclegan_pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.