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

https://github.com/EndyWon/GLStyleNet

공식 코드

GLStyleNet: Higher Quality Style Transfer Combining Global and Local Pyramid Features

https://github.com/Erosinho13/FedDrive

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FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving

https://github.com/EvgenyKashin/stylegan2-distillation

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StyleGAN2 Distillation for Feed-forward Image Manipulation

https://github.com/FalongShen/styletransfer

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Meta Networks for Neural Style Transfer

https://github.com/GT-RIPL/DomainGeneralization-Stylization

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Frustratingly Simple Domain Generalization via Image Stylization

https://github.com/GT-SALT/FormalityStyleTransfer

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Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization

https://github.com/Gorilla-Lab-SCUT/tango

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TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition

https://github.com/HLTSingapore/Emotional-Speech-Data

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Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset

https://github.com/HeathArhturLouis/Rethinking-Molecular-Design-Integrating-Latent-Variable-and-Autoregressive-Models-for-Enhanced-Goal

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Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Goal Directed Generation

https://github.com/Holmes-Alan/ST-VAE

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Multiple Style Transfer via Variational AutoEncoder

https://github.com/Holmes-Alan/TxST

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Name Your Style: An Arbitrary Artist-aware Image Style Transfer

https://github.com/HolmesShuan/Zero-shot-Style-Transfer-via-Attention-Rearrangement

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$Z^*$: Zero-shot Style Transfer via Attention Rearrangement

https://github.com/Holmeswww/PPOGAN

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Improving GAN Training with Probability Ratio Clipping and Sample Reweighting

https://github.com/HuanBor/AttenST

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AttenST: A Training-Free Attention-Driven Style Transfer Framework with Pre-Trained Diffusion Models

https://github.com/IShengFang/Self-Contained_Stylization

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Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer

https://github.com/IssamLaradji/CBStyling

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Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation

https://github.com/JarrentWu1031/CCPL

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CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer

https://github.com/JeremyCJM/CCST

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Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer

https://github.com/JianlingWANG2021/SGSST

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SGSST: Scaling Gaussian Splatting StyleTransfer

https://github.com/JianqiangRen/AAMS

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Attention-aware Multi-stroke Style Transfer

https://github.com/KU-CVLAB/INR-st

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Controllable Style Transfer via Test-time Training of Implicit Neural Representation

https://github.com/KaiyangZhou/Dassl.pytorch

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MixStyle Neural Networks for Domain Generalization and Adaptation

https://github.com/KaiyangZhou/mixstyle-release

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MixStyle Neural Networks for Domain Generalization and Adaptation

https://github.com/Kunhao-Liu/StyleRF

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StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields

https://github.com/Ledengary/PGST

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PGST: a Polyglot Gender Style Transfer method

https://github.com/LeoLaugier/conditional-auto-encoder-text-to-text-transfer-transformer

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Civil Rephrases Of Toxic Texts With Self-Supervised Transformers

https://github.com/LiyangTseng/AudMem

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A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability

https://github.com/MAPS-research/Ditail

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Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image Generations

https://github.com/MartinBuessemeyer/Artistic-Texture-Control

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Controlling Geometric Abstraction and Texture for Artistic Images

https://github.com/MaxReimann/WISE-Editing

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WISE: Whitebox Image Stylization by Example-based Learning

https://github.com/MaxReimann/video-stream-consistency

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Interactive Control over Temporal Consistency while Stylizing Video Streams

https://github.com/Mirmix/muviecast

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MuVieCAST: Multi-View Consistent Artistic Style Transfer

https://github.com/MovingKyu/RACoLN

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Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization

https://github.com/MyeongJin-Kim/Learning-Texture-Invariant-Representation

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Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation

https://github.com/NVIDIA/FastPhotoStyle

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A Closed-form Solution to Photorealistic Image Stylization

https://github.com/NVIDIA/flowtron

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Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis

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