Multimodal Unsupervised Image-To-Image Translation
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Multimodal unsupervised image-to-image translation is the task of producing multiple translations to one domain from a single image in another domain.
<span style="color:grey; opacity: 0.6">( Image credit: MUNIT: Multimodal UNsupervised Image-to-image Translation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nhannguyencsd/vision_cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/onedayatatime0923/Cycle_Mcd_Gan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/open-mmlab/mmgeneration
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/pcummer/cycle-gan-keras
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/pooriyasafaei/cityscapes_pix2pix
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/prakashpandey9/BicycleGAN
https://github.com/racinmat/anime-style-transfer
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/ranery/Bayesian-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/ravindrabharathi/FaceAgingGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/sahilg06/BicycleGAN
https://github.com/sanjsvk/CycleGANs
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/septmars/DL
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/sergeisoly/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/shreshtashetty/CycleGANPhototoMonet
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/spiridonoff/Monet
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/sss20young/Chuibbo-Flask-Server
https://github.com/stqc/Simple_CycleGAN_pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tahasamavati/Cycle-GAN-Tensorflow
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/taivu1998/GANime
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/taki0112/DRIT-Tensorflow
Diverse Image-to-Image Translation via Disentangled Representations
https://github.com/taki0112/MUNIT-Tensorflow
https://github.com/taki0112/StarGAN_v2-Tensorflow
https://github.com/taki0112/UNIT-Tensorflow
https://github.com/tarujg/domain-adapt
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tbullmann/imagetranslation-tensorflow
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tensorflow/models/tree/master/research/gan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tensorpack/tensorpack/tree/master/examples/GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/threeracha/Chuibbo-Flask-Server
https://github.com/tmabraham/UPIT
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tollymune/CycleGAN-PyTorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tomgillooly/geogan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/u7javed/Bidirectional-Image-to-Image-Translator
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/ucsd-ml-arts/ml-art-final-justin-law
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/uzielroy/CUT
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/vanhuyz/CycleGAN-TensorFlow
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.