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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Kprerak-iisc/data-science
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Kumara-Kaushik/proba_v_challenge
https://github.com/KunZhou9646/controllable_evc_code
Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset
https://github.com/Kunhao-Liu/StyleGaussian
StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting
https://github.com/Kyubyong/expressive_tacotron
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/Larryliu912/Vincent-2.0
https://github.com/LaurentBerger/neuralstyle
https://github.com/LeMU-Haruka/reconet-mindspore
https://github.com/LearningHx/StyA2K
https://github.com/Lees001/FastPhotoStyle
https://github.com/Leinadh/avatar-image-generator
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
https://github.com/LeslieZhoa/DCT-NET.Pytorch
DCT-Net: Domain-Calibrated Translation for Portrait Stylization
https://github.com/LiangHann/USAR
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
https://github.com/Lornatang/PyTorch-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/LouieYang/deep-photo-styletransfer-tf
https://github.com/LouieYang/stroke-controllable-fast-style-transfer
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields
https://github.com/Lu-Hsuan/A-Neural-Algorithm-of-Artistic-Style
https://github.com/LucasSheng/avatar-net
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration
https://github.com/LynnHo/CycleGAN-Tensorflow-2
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/LynnHo/CycleGAN-Tensorflow-PyTorch-Simple
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/MQSchleich/SatelliteFAMOS
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization
https://github.com/MQSchleich/SatelliteGAN
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization
https://github.com/Manan1811/Neural-Style-Transfer
https://github.com/ManthanBhala/Style-Transfer-by-Rigid-Alignment
Style Transfer by Rigid Alignment in Neural Net Feature Space
https://github.com/MarvinLavechin/imagetranslation-tensorflow
Instance Normalization: The Missing Ingredient for Fast Stylization
https://github.com/Maxencephilbert/In_Silico_Labeling_CBIO_internship
https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Unpaired_Image_to_Image_Translation_using_Cycle_Consistent_Adversarial_Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Meghanshu-Bhatt/Neural-artistic-style-transfer
https://github.com/MehmetBarutcu/PHM-Paper-Implementation
https://github.com/Mind23-2/MindCode-8
Exploring the structure of a real-time, arbitrary neural artistic stylization network
https://github.com/MindSpore-paper-code-2/code3/tree/main/StyTr-2
https://github.com/MindSpore-paper-code-3/code9/tree/main/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/MindSpore-scientific-2/code-10/tree/main/VAE-Creative-Discovery-using-QD-Search
VAE based Text Style Transfer with Pivot Words Enhancement Learning
https://github.com/MindSpore-scientific-2/code-10/tree/main/ZoneoutRNN
VAE based Text Style Transfer with Pivot Words Enhancement Learning
https://github.com/MindSpore-scientific-2/code-11/tree/main/pixelshuffle1d
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.