https://github.com/Eyyub/tensorflow-cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Papers with Code 아카이브
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/Feynman1999/MgeEditing
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/FiveEyes/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/GBATZOLIS/Wespe-Keras
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/GH3927/CycleGAN-applied-to-cranes
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/GiuliaLanzillotta/exercises
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/HazemLahoual/Project-Machine-Learning
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/HsinYingLee/MDMM
Diverse Image-to-Image Translation via Disentangled Representations
https://github.com/JL321/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JPlin/MSGAN
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
https://github.com/JaryV/CycleGAN_OldYoung
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Jay0505/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JohanYe/CycleGAN-Pokemon
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JohanZYe/CycleGAN-Pokemon
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Justin-Tan/generative-compression
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/KbeautyHair/BaselineModel
https://github.com/Kprerak-iisc/data-science
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Lornatang/PyTorch-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/LynnHo/CycleGAN-Tensorflow-2
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/LynnHo/CycleGAN-Tensorflow-PyTorch-Simple
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/MarvinLavechin/imagetranslation-tensorflow
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Unpaired_Image_to_Image_Translation_using_Cycle_Consistent_Adversarial_Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/MindSpore-paper-code-3/code9/tree/main/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Misaka9468/CloudTransfer-daytime2sunset-CycleGAN-Pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NDCHIRO/Cartoonizer
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NathanDeMaria/AugmentedCycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NeuralVFX/lighting-swap-cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Nirav-Agarwal/GANs
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NitishaS-812k/Monet-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NiucunCode/Deep-Learning-proj2
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Omkar-Ranadive/Domain-Adaptation-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Our4514/CAGFUZZ
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/PDEUXA/AIF_CYCLEGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/PacktPublishing/Hands-On-Image-Generation-with-TensorFlow-2.0/tree/master/Chapter04
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Pavan-pk/ArtGan_Realism
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/PramuPerera/In2I
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.