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Drawing Pictures
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sy-sunmoon/Clever-Commenter-Let-s-Try-More-Apps
https://github.com/syang1993/gst-tacotron
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/syguan96/Image2StyleGAN
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
https://github.com/sylvielee/style-swap-819
https://github.com/t04glovern/neural-painters
Neural Painters: A learned differentiable constraint for generating brushstroke paintings
https://github.com/tahasamavati/Cycle-GAN-Tensorflow
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/taivu1998/GANime
https://github.com/takaahii/chainer-gogh
https://github.com/taki0112/Batch_Instance_Normalization-Tensorflow
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
https://github.com/taki0112/GDWCT-Tensorflow
Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation
https://github.com/tanjeffreyz/neural-algorithm-of-artistic-style
https://github.com/tarujg/domain-adapt
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/taylorjocelyn/diffusion-model-quantization
https://github.com/tbullmann/imagetranslation-tensorflow
Instance Normalization: The Missing Ingredient for Fast Stylization
https://github.com/tcmxx/CNTKUnityTools
https://github.com/telecombcn-dl/2018-dlai-team5
https://github.com/tensorflow/models/tree/master/research/gan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tensorpack/tensorpack/tree/master/examples/GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tfonta/ca2sis
https://github.com/tfonta/semantic-vae
https://github.com/thatbrguy/Dehaze-GAN
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/the-super-toys/glimpse-models
Instance Normalization: The Missing Ingredient for Fast Stylization
https://github.com/theinmate4587/Art-Generation
https://github.com/thiagoambiel/NeuralAtlases
https://github.com/thinkingmachines/christmAIs
https://github.com/tiijana/Neural-Style-Transfer-
https://github.com/timonziegenbein/inappropriateness-mitigation
https://github.com/timy90022/VEGAN
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
https://github.com/timy90022/WEGAN
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
https://github.com/tmabraham/UPIT
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tobwei/disentintel
Unsupervised Speech Decomposition via Triple Information Bottleneck
https://github.com/tollymune/CycleGAN-PyTorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tomgillooly/geogan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/tpark94/speedplusbaseline
Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft
https://github.com/tpark94/spnv2
Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.