https://github.com/LiangHann/USAR
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
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/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
https://github.com/MindSpore-scientific-2/code-4/tree/main/MicAugment
https://github.com/MindSpore-scientific-2/code-4/tree/main/pixelshuffle1d
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
https://github.com/MindSpore-scientific/code-1/tree/main/MicAugment
https://github.com/MindSpore-scientific/code-10/tree/main/SmeLU-master
Smell and Emotion: Recognising emotions in smell-related artworks
https://github.com/MindSpore-scientific/code-11/tree/main/MicAugment
https://github.com/MindSpore-scientific/code-13/tree/main/VAE-Creative-Discovery-using-QD-Search
VAE based Text Style Transfer with Pivot Words Enhancement Learning
https://github.com/MindSpore-scientific/code-13/tree/main/pixelshuffle1d
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
https://github.com/Misaka9468/CloudTransfer-daytime2sunset-CycleGAN-Pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Moguero/painting-style-transfer
https://github.com/MohdDanish/FastPhotoStyle1
https://github.com/MuhamedKamil/Neural-Style-Transfer-
https://github.com/MuradBozik/audio-style-transfer
MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms
https://github.com/NDCHIRO/Cartoonizer
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.