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

https://github.com/rocavincent/iguane_harmonization

공식 코드

IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR images

https://github.com/rocketappslab/bdmm

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Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer

https://github.com/ron-amit/pac_bayes_reg

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Integral Probability Metrics PAC-Bayes Bounds

https://github.com/rtqichen/style-swap

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Fast Patch-based Style Transfer of Arbitrary Style

https://github.com/ruiqixu37/BTTS_ECAI2023

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Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training

https://github.com/ry3ng/sa-lut

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SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer

https://github.com/ryanchenyn/imageinversion

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Image Inversion: A Survey from GANs to Diffusion and Beyond

https://github.com/s-enmt/pseudodomainbed

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Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization

https://github.com/s-nlp/formality

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Detecting Text Formality: A Study of Text Classification Approaches

https://github.com/s-nlp/lewit-informal

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Don't lose the message while paraphrasing: A study on content preserving style transfer

https://github.com/s603122001/Bidirectional-Music-Style-Transformer

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Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience

https://github.com/sabithsn/appdia-discourse-style-transfer

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APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations

https://github.com/sagiebenaim/DistanceGAN

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One-Sided Unsupervised Domain Mapping

https://github.com/saic-mdal/HiDT

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High-Resolution Daytime Translation Without Domain Labels

https://github.com/sakaridis/MGCDA

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Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

https://github.com/salesforce/edict

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EDICT: Exact Diffusion Inversion via Coupled Transformations

https://github.com/sanghunpark/neural_crossbreed

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Neural Crossbreed: Neural Based Image Metamorphosis

https://github.com/sberbank-ai/ru-gpts

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Methods for Detoxification of Texts for the Russian Language

https://github.com/scjjb/midog_domain_adaptation

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Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images

https://github.com/seasonSH/WarpGAN

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WarpGAN: Automatic Caricature Generation

https://github.com/semchan/NLUT

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NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer

https://github.com/semchan/UPST-NeRF

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UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene

https://github.com/seq-to-mind/semi-style-transfer

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Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer

https://github.com/shahaf1313/procst

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ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer

https://github.com/shallinan1/steerstyletransfer

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STEER: Unified Style Transfer with Expert Reinforcement

https://github.com/shaojintian/power_law_decay

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Power-Law Decay Loss for Large Language Model Finetuning: Focusing on Information Sparsity to Enhance Generation Quality

https://github.com/sharan21/epaae

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Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer

https://github.com/shashankvkt/alignmixup_cvpr22

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AlignMixup: Improving Representations By Interpolating Aligned Features

https://github.com/shengliu66/icv

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In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering

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

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Style Transfer from Non-Parallel Text by Cross-Alignment

https://github.com/shentianxiao/text-autoencoders

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Educating Text Autoencoders: Latent Representation Guidance via Denoising

https://github.com/shouvikmani/edge-colorizer

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Artistic Enhancement and Style Transfer of Image Edges using Directional Pseudo-coloring

https://github.com/showlab/PhotoDoodle

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PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data

https://github.com/showlab/Tune-A-Video

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Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

https://github.com/showlab/omniconsistency

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OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

https://github.com/shrimai/Style-Transfer-Through-Back-Translation

공식 코드

Style Transfer Through Back-Translation

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