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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/Jeongseungwoo/Singing-Style-transfer
Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks
https://github.com/JeongsolKim/BiS400_term_project
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/JimmyDoan1309/Neural-Style-Transfer
https://github.com/Jitensid/Neural-Style-Transfer
https://github.com/JohanYe/CycleGAN-Pokemon
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JohanZYe/CycleGAN-Pokemon
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JorgeGtz/TextureNets_implementation
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
https://github.com/Josien94/MLiP
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/JustWon/mystyletransfer
https://github.com/Justin-Tan/generative-compression
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Jwrede/neural_style_transfer
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/KaiyangZhou/ssdg-benchmark
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
https://github.com/Kalyan0821/NST
https://github.com/Kalyan0821/myelinfoundry-challenge
https://github.com/KamilCendrowicz/NST
https://github.com/KamitaniLab/icnn
https://github.com/KangDo96/Github-Ranking
https://github.com/Karan-kapadia/Style-Transfer-karan
https://github.com/KathyReid/opensource-voice-tools
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
https://github.com/Kautenja/a-neural-algorithm-of-artistic-style
https://github.com/KingJamesSong/DifferentiableSVD
https://github.com/KinglittleQ/GST-Tacotron
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/Kishwar/tensorflow
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.