https://github.com/RRoundTable/OceanLitter_dataset_generator
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/RajeshNN/neural-style-transfer
https://github.com/RajeshNN/neural-style-transfer-pytorch
https://github.com/RanBezen/cycleGan_handwriting
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/RemiArbache/style-transfer-M2
Exploring the structure of a real-time, arbitrary neural artistic stylization network
https://github.com/ReshmikaD/Artistic-Style-Transfer-CNN
https://github.com/RezisEwig/cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Ritam9/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Ryan0v0/Google_ML_Camp
https://github.com/RyanWu2233/Style_Transfer
https://github.com/RyotaImai/-Keras-Image2StyleGAN-
https://github.com/S-aiueo32/dni-demo
Deep Network Interpolation for Continuous Imagery Effect Transition
https://github.com/S-aiueo32/srntt-pytorch
https://github.com/SHAHBAZSIDDIQI/DataScience
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Saaiheswar/Neural-Style-Transfer
https://github.com/SarderLab/WSI-cycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/SeonghoBaek/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/ShawnWilliams/style_transfer
https://github.com/Shilpil/style-transfer
https://github.com/Shumway82/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/ShutoAraki/EverybodyDanceNow-Temporal-FaceGAN
https://github.com/SiHaoShen/Convolutional-Neural-Networks
https://github.com/SiddhanthHegde/Custom-Neural-Style-Transfer
https://github.com/SilasHenderson/AI
https://github.com/SilasHenderson/ai_notes
https://github.com/SimeonKraev/Musical-style-transfer-with-cycle-consistent-generative-adversarial-neural-networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/SocieteGenevoiseDonnees/FiltersStylesDomains
https://github.com/Sontref/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/SreeHarshaNelaturu/Neural-Style-Transfer
https://github.com/Srijha09/Making-Images-Artsy-Neural-Style-Transfer
https://github.com/SudhanshuMishra8826/Style-Transfer-On-Images
https://github.com/SunnerLi/Cross-you-in-style
Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts
https://github.com/SupratimH/neural-style-transfer
https://github.com/SwordHolderSH/neural-style-pytorch
https://github.com/SystemErrorWang/Joint-Bilateral-Photorealistic-Style-Transfer
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer
https://github.com/T-C-J/GAN
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.