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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nhannguyencsd/vision_cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/nhatsmrt/torch-styletransfer
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/nikolinatrudic/Neural-style-transfer
https://github.com/nikunj-taneja/accendo
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/ninatu/mood_challenge
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/nlahlaf/Text-Style-Transfer
https://github.com/nmichlo/disent
https://github.com/nnaisense/conditional-style-transfer
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer
https://github.com/nomewang/mcf
Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region
https://github.com/noufali/VideoML
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
https://github.com/nrupatunga/Fast-Image-Filters
https://github.com/nupam/GANs-for-Image-enhancement
https://github.com/oellop/Style_Transfer
https://github.com/oist/psgan
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization
https://github.com/ojus1/StyleTransfer
https://github.com/okeer/nst-tele-bot
https://github.com/olaviinha/NeuralStyleTransfer
https://github.com/omerbsezer/NeuralStyleTransfer
https://github.com/oneTaken/pytorch_fast_style_transfer
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/onedayatatime0923/Cycle_Mcd_Gan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/open-mmlab/mmgeneration
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/ornithos/mtds-dblpend
Customizing Sequence Generation with Multi-Task Dynamical Systems
https://github.com/pacifinapacific/StyleGAN_LatentEditor
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
https://github.com/parasgulati8/Neural-Style-Transfer
https://github.com/parisGPB/Neural-Style-Transfer
https://github.com/paulwarkentin/pytorch-neural-doodle
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
https://github.com/pavelgonchar/face-transfer-tensorflow
Inverting face embeddings with convolutional neural networks
https://github.com/pb2377/Pytorch-Domain-Adaptation-via-Style-Consistency
Domain Adaptation for Object Detection via Style Consistency
https://github.com/pcicales/MICCAI_2020_StyPath
StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification
https://github.com/pcummer/cycle-gan-keras
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/peilinrao/AutoComics
https://github.com/peria1/VAEconvMNIST
https://github.com/pfnet-research/chainer-gogh
https://github.com/pgagarinov/dls-style-telegram-bot
https://github.com/philipjackson/style-augmentation
Exploring the structure of a real-time, arbitrary neural artistic stylization network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.