https://github.com/dongkwani/upcsc
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Papers with Code 아카이브
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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dorian-v/simple_neural_style_transfer
https://github.com/dstein64/pastiche
https://github.com/dtrizna/StyleTransfer
https://github.com/dummy2021/intro_to_ai
https://github.com/dxyang/styletransfer
https://github.com/e-mois/nstbot
https://github.com/edivadiranatnom/Machine-Learning-Project
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
https://github.com/ee17b031-iittp/Image2StyleGAN
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
https://github.com/ee17b031-iittp/Neural-style-transfer
https://github.com/ellisk42/ec
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
https://github.com/elsa9421/cyclegan_readable
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/endywon/texture-reformer
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
https://github.com/eridgd/WCT-TF
https://github.com/eriklindernoren/Keras-GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/eriklindernoren/PyTorch-GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/etttttte/mayfest2018
https://github.com/eyalbetzalel/pytorch-generative
https://github.com/eyalbetzalel/pytorch-generative-v2
https://github.com/eyalbetzalel/pytorch-generative-v6
https://github.com/facebookresearch/DomainBed
https://github.com/facebookresearch/LaMCTS
Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search
https://github.com/facebookresearch/MultipleAttributeTextRewriting
https://github.com/facebookresearch/meta-ot
https://github.com/facebookresearch/open_lth
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
https://github.com/facebookresearch/w2ot
https://github.com/factoryIO/1-simple_neural_style_transfer
https://github.com/fatihky/starred
https://github.com/feziodoshi/Neural-Artistic-Style-Video-
https://github.com/foamliu/GST-Tacotron-v2
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/francescodisalvo05/66DaysOfData
https://github.com/freedombenLiu/FastPhotoStyle
https://github.com/freedombenLiu/deep-painterly-harmonization
Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses
https://github.com/freenowill/AutoVC-WavRNN
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
https://github.com/fuenwang/CVFX-hw1
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/fullfanta/multimodal_transfer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.