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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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
https://github.com/T-C-J/shuiying
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/TAMU-VITA/AGD
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework
https://github.com/TJJTJJTJJ/pytorch_CycleGAN_frame
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/TanguyJeanneau/white-mirror
https://github.com/Taoudi/Monet-ization-of-Images
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Tee0125/pytorch-fast-style-transfer
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/TheConfused1/Real-time-neural-style-transfer
https://github.com/Tiannia/intro_to_ai
https://github.com/TianxiangMa/MUST-GAN
MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
https://github.com/Tonyhuiii/color-transform
https://github.com/Trustworthy-AI-Group/TransferAttack
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
https://github.com/UdbhavPrasad072300/Generate-Fake-Faces-with-CVAE-in-PyTorch
https://github.com/Uemuet/style-transfer
https://github.com/Uemuet/styletransfer-adaptive
https://github.com/VAShibaev/text_style_transfer
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
https://github.com/VadimFarutin/neural-style-transfer
https://github.com/Vaibhavck/Style-Transfer-VGG19
https://github.com/Varunittigi/Neural-Style-transfer
https://github.com/VedantDere0104/Cycle_GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/VegB/VLN-Transformer
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation
https://github.com/Vill-Lab/forkOfStyleShot
https://github.com/VinceMarron/style_transfer
https://github.com/Vinr1ch/cs390-lab2
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.