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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/kaminyou/urust

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/kanishk16/Image-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/karl-hajjar/Generative-Adversarial-Networks

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/karuj/StyleTransfer

A Neural Algorithm of Artistic Style

https://github.com/keonlee9420/Comprehensive-Tacotron2

Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens

https://github.com/keonlee9420/Cross-Speaker-Emotion-Transfer

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

https://github.com/khornlund/CycleGAN-Music-Style-Transfer-1

Symbolic Music Genre Transfer with CycleGAN

https://github.com/khush3/GAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/kidach1/NeuralArtisticStyle

A Neural Algorithm of Artistic Style

https://github.com/kirill-ionkin/NST_Gatys

A Neural Algorithm of Artistic Style

https://github.com/knurpsbram/autovc_wavenetvocoder_griffinlim_experiments

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

https://github.com/kramer99/neural-style-transfer

A Neural Algorithm of Artistic Style

https://github.com/ksivaman/super-res

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

https://github.com/ku2482/vae.pytorch

Deep Feature Consistent Variational Autoencoder

https://github.com/kumnikhil/christmAIs_replica

A Neural Algorithm of Artistic Style

https://github.com/kvsnoufal/neural_style_transfer

A Neural Algorithm of Artistic Style

https://github.com/kynk94/TF2-Image-Generation

A Neural Algorithm of Artistic Style

https://github.com/kyuer/language-style-transfer

Style Transfer from Non-Parallel Text by Cross-Alignment

https://github.com/kzkymur/transition

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/labmlai/annotated_deep_learning_paper_implementations

Instance Normalization: The Missing Ingredient for Fast Stylization

https://github.com/laughtervv/tf_neural_renderer

Neural 3D Mesh Renderer

https://github.com/lcosmo/LIMP

LIMP: Learning Latent Shape Representations with Metric Preservation Priors

https://github.com/lcosmo/isospectralization

Isospectralization, or how to hear shape, style, and correspondence

https://github.com/leehomyc/cyclegan-1

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/lengstrom/fast-style-transfer

A Neural Algorithm of Artistic Style

https://github.com/leolle/StyleTransfer

Deep Photo Style Transfer

https://github.com/leonardoperu/Monetmaker

A Neural Algorithm of Artistic Style

https://github.com/leongatys/PytorchNeuralStyleTransfer

Controlling Perceptual Factors in Neural Style Transfer

https://github.com/lhannest/neuralstyle

A Neural Algorithm of Artistic Style

https://github.com/liamheng/pytorch1.4-wct

Universal Style Transfer via Feature Transforms

https://github.com/libreai/neural-painters-x

A Neural Algorithm of Artistic Style

https://github.com/lihengbit/Pytorch1.4-WCT

Universal Style Transfer via Feature Transforms

https://github.com/lingofunk/lingofunk-transfer-style

Adversarially Regularized Autoencoders

https://github.com/lit-leo/inner-convex-nn

Wasserstein-2 Generative Networks

https://github.com/liulai/reconet-torch

ReCoNet: Real-time Coherent Video Style Transfer Network

https://github.com/liuzeyuMr/CycleGAN-TensorFlow-master

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.