https://github.com/CODEJIN/SPEECHSPLIT
Unsupervised Speech Decomposition via Triple Information Bottleneck
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CS2470FinalProject/X-GAN
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
https://github.com/CYetlanezi/Proyecto-Opti
https://github.com/CarpdiemLiang/style_transfer
https://github.com/CellEight/Pytorch-Adaptive-Instance-Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/Chad4545/styletransfer
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/ChandhiniG/Generate-Stylized-Image-from-Edges
https://github.com/ChenWu98/Point-Then-Operate
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
https://github.com/ChengBinJin/Real-time-style-transfer
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/ChetanTayal138/NeuralStyleTransfer
https://github.com/Clemson-AI/p2gan
P$^2$-GAN: Efficient Style Transfer Using Single Style Image
https://github.com/CompVis/adaptive-style-transfer
https://github.com/CompVis/content-targeted-style-transfer
https://github.com/CoryRJ/cycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/DanailKoychev/neural-style
https://github.com/DarkGeekMS/Tensorflow-GANs-Architectures-Implementation
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/DarkGeekMS/artistic-style-transfer-using-texture-synthesis
https://github.com/DarshanDeshpande/research-paper-implementations/tree/main/tensorflow/stytr2
https://github.com/Davidnh8/artAI
https://github.com/Dawars/SqueezeNet-tf
https://github.com/DeadAt0m/ActiveSparseShifts-PyTorch
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
https://github.com/DeepMotionEditing/deep-motion-editing
https://github.com/DeepikaKaranji/CycleGAN-Unpaired-Image-translation
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/DiegoArcelli/De-Stylization-Network
Recognizing Instagram Filtered Images with Feature De-stylization
https://github.com/Divsigma/2020-cs213n
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/DmitryUlyanov/fast-neural-doodle
https://github.com/Dylan-get/Deep-Feature-Consistent-VAE
https://github.com/EXJUSTICE/Cross-Domain_Classification_Using_StyleTransfer
Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation
https://github.com/Emir-Liu/Cycle-GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/EmptySamurai/pytorch-reconet
https://github.com/EnchanterXiao/video-style-transfer
https://github.com/ErikFaustmann/styletransfer
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/EugenHotaj/pytorch-generative/blob/master/notebooks/style_transfer.ipynb
https://github.com/EvgenyKashin/SRMnet
SRM : A Style-based Recalibration Module for Convolutional Neural Networks
https://github.com/Eyyub/tensorflow-cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/FeliMe/multimodal_style_transfer
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.