https://github.com/sharan21/disentangled-style-transfer-vae
Disentangled Representation Learning for Non-Parallel Text Style Transfer
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/sharmasapna/artistic-style-transfer-with-neural-net
https://github.com/shauray8/Neural-Painter
Neural Painters: A learned differentiable constraint for generating brushstroke paintings
https://github.com/shikharvaish28/neural-style
https://github.com/shivsundram/superresolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/shizuo-kaji/StyleTransfer
https://github.com/showlab/loveu-tgve-2023
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
https://github.com/shreshtashetty/CycleGANPhototoMonet
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/siddharthbhonge/Neural_Style_transfer
https://github.com/skiler07/mst-tf
https://github.com/sleebapaul/AuriaKathi
https://github.com/smaranjitghose/DeepHoli
https://github.com/smartworkdilip/Art-generation-with-neural-style-transfer
https://github.com/sonnguyen129/SANet-pytorch
https://github.com/sonnguyentruong129/Real-time-Style-Transfer
https://github.com/sonnguyentruong129/msgnet-tf
https://github.com/sony/nnabla-examples/tree/master/GANs/stylegan2-distillation
https://github.com/soumik12345/Pix2Pix
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
https://github.com/sourabhmadur/Neural-Style-Transfer
https://github.com/sourabhsh55/Neural-Style-Transferring
https://github.com/spiridonoff/Monet
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/srihari-humbarwadi/adain-tensorflow2.x
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/sroutray/ugp
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
https://github.com/stanislavfort/Direct_Ascent_Synthesis
Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative Models
https://github.com/stqc/Simple_CycleGAN_pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/sukkritsharmaofficial/NEURALFUSE
https://github.com/sumuzhao/CycleGAN-Music-Style-Transfer-Refactorization
https://github.com/sundogai/style-transfer
Instance Normalization: The Missing Ingredient for Fast Stylization
https://github.com/sunshineatnoon/LinearStyleTransfer
Learning Linear Transformations for Fast Arbitrary Style Transfer
https://github.com/sunshineatnoon/PytorchWCT
https://github.com/superb20/Image-Style-Transfer-Using-Convolutional-Neural-Networks
https://github.com/supvict123/style-swap
https://github.com/svenrdz/DFC-VAE
https://github.com/svjack/PhotoWCT
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.