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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/itzpankajpanwar/iMagine
https://github.com/jackaduma/CycleGAN-VC2
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/jadevaibhav/ArtistIdentifier
https://github.com/janivanecky/Artistic-Style
https://github.com/jaredaevans/DualNeuralStyleTransfer
https://github.com/jaredaevans/MultipleNeuralStyleTransfer
https://github.com/jarek-pawlowski/advanced-machine-learning
https://github.com/jasminsternkopf/mel_cepstral_distance
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis
https://github.com/jason9693/cycleGAN-tensorflow-v2
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/jayChung0302/DeepFilter
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/jaydeepthik/neural-style-transfer
https://github.com/jcjohnson/fast-neural-style
Instance Normalization: The Missing Ingredient for Fast Stylization
https://github.com/jcjohnson/neural-style
https://github.com/jgmartinez90/Art_Generator_with_Neural_Style_Transfer
https://github.com/jia-yi-chen/Illumination-guided-Neural-Style-Transfer
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
https://github.com/jiajunhua/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/jiean001/models_m/tree/main/ArbitraryStyleTransfer
Exploring the structure of a real-time, arbitrary neural artistic stylization network
https://github.com/jihoonerd/A-Neural-Algorithm-of-Artistic-Style
https://github.com/jinhan/tacotron2-gst
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/jinhan/tacotron2-vae
Learning latent representations for style control and transfer in end-to-end speech synthesis
https://github.com/jishavm/TextStyleTransfer
https://github.com/jiupinjia/stylized-neural-painting
https://github.com/joelsimonoff/gram-adversary-detection
https://github.com/joey00072/Neural-Style-Transfer-in-Pytorch
https://github.com/johnsun03/myTest
https://github.com/jonthegeek/stylex
https://github.com/jpark621/language-style-transfer
https://github.com/jraiskin/arxiv2kindle_pdf
https://github.com/jsonkung/style-transfer-texture-synthesis
https://github.com/jtiger958/cyclegan-pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/jtiger958/style-transfer-pytorch
https://github.com/julianbel/itba-dl-neural-style-transfer
https://github.com/justanhduc/brushstroke-parameterized-style-transfer
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes
https://github.com/justusschock/delira_cycle_gan_pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/jxcodetw/stylebank
StyleBank: An Explicit Representation for Neural Image Style Transfer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.