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Drawing Pictures

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/yulunzhang/MST

Multimodal Style Transfer via Graph Cuts

https://github.com/yunjey/mnist-svhn-transfer

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/yuval-alaluf/hyperstyle

Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

https://github.com/yxue3357/CycleGAN_pt

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/yxue3357/CycleGAN_tf

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/yxue3357/Mask-CycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/yyhappier/shortcutsuite

Reformulating Unsupervised Style Transfer as Paraphrase Generation

https://github.com/zcemycl/Matlab-GAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/zhourunlong/mc-gan

Multi-Content GAN for Few-Shot Font Style Transfer

https://github.com/zhuo931077127/CycleGAN_practice

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/zhy1001/Fast_Style_Transfer_using_CNN

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/zzwaang/audio2midi

Learning Interpretable Representation for Controllable Polyphonic Music Generation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.