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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DeepikaKaranji/CycleGAN-Unpaired-Image-translation
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/DiegoArcelli/De-Stylization-Network
Recognizing Instagram Filtered Images with Feature De-stylization
https://github.com/Divsigma/2020-cs213n
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/DmitryUlyanov/fast-neural-doodle
https://github.com/Dylan-get/Deep-Feature-Consistent-VAE
https://github.com/EXJUSTICE/Cross-Domain_Classification_Using_StyleTransfer
Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation
https://github.com/Emir-Liu/Cycle-GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/EmptySamurai/pytorch-reconet
https://github.com/EnchanterXiao/video-style-transfer
https://github.com/ErikFaustmann/styletransfer
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/EugenHotaj/pytorch-generative/blob/master/notebooks/style_transfer.ipynb
https://github.com/EvgenyKashin/SRMnet
SRM : A Style-based Recalibration Module for Convolutional Neural Networks
https://github.com/Eyyub/tensorflow-cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/FeliMe/multimodal_style_transfer
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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/FlyingRoastDuck/PGPPM
Leveraging Virtual and Real Person for Unsupervised Person Re-identification
https://github.com/FulminisH/Style-Transfer
https://github.com/FurkanGozukara/SpeechSplitTest
Unsupervised Speech Decomposition via Triple Information Bottleneck
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/GSNCodes/Neural_Style_Transfer
https://github.com/Garfield35/Doodle
https://github.com/Gaurav927/Neural_Style_Transfer
https://github.com/Gie-ok-Hie-ut/pytorch-stylegan2-distillation
https://github.com/Gintasp/xgan
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
https://github.com/Git-Uzair/Piano-Genre-Transfer-CycleGan
https://github.com/GiuliaLanzillotta/exercises
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/GlebBrykin/SANET
https://github.com/GuillaumeAI/rwml__adaptive_style_transfer
https://github.com/GuoShi28/Caffe-Instance-Normalization-and-Guided-Instance-Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/HarmanDotpy/Normalizations-in-Deep-Learning
Instance Normalization: The Missing Ingredient for Fast Stylization
https://github.com/HazemLahoual/Project-Machine-Learning
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/HikkaV/StylizerML
Exploring the structure of a real-time, arbitrary neural artistic stylization network
https://github.com/HuikaiShao/JPFA
A Joint Pixel and Feature Alignment Framework for Cross-dataset Palmprint Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.