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

https://github.com/ybzh/efdm

공식 코드

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

https://github.com/ycjing/Neural-Style-Transfer-Papers

공식 코드

Neural Style Transfer: A Review

https://github.com/yeungchenwa/fontdiffuser

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FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

https://github.com/yhsong98/ct-us-i2i-translation

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S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography

https://github.com/yingutk/NL-MAT

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Non-Local Representation based Mutual Affine-Transfer Network for Photorealistic Stylization

https://github.com/yisuanwang/soulstyler

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Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target Object

https://github.com/yixinL7/Direct-Style-Transfer

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On Learning Text Style Transfer with Direct Rewards

https://github.com/yongqyu/TCN

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Typeface Completion with Generative Adversarial Networks

https://github.com/yoonkim/neural-qcfg

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Sequence-to-Sequence Learning with Latent Neural Grammars

https://github.com/youseob/pin

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Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL

https://github.com/yuanyuan-yuan/gcert

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Precise and Generalized Robustness Certification for Neural Networks

https://github.com/yunjinli/SADG-SegmentAnyDynamicGaussian

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SADG: Segment Any Dynamic Gaussian Without Object Trackers

https://github.com/yzxing87/pytorch-deep-video-prior

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Blind Video Temporal Consistency via Deep Video Prior

https://github.com/zacharyhorvitz/ParaGuide

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ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer

https://github.com/zacharyhorvitz/tinystyler

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TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings

https://github.com/zalandoresearch/famos

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Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization

https://github.com/zeconloss/zecon

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Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer

https://github.com/zhanghang1989/PyTorch-Multi-Style-Transfer

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Multi-style Generative Network for Real-time Transfer

https://github.com/zhangqianhui/SGGAN-tensorflow

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Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation

https://github.com/zhangqianhui/Sparsely-Grouped-GAN

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Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation

https://github.com/zhangzc21/generalized-one-shot-gan-adaptation

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Generalized One-shot Domain Adaptation of Generative Adversarial Networks

https://github.com/zhangzc21/petsgan

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PetsGAN: Rethinking Priors for Single Image Generation

https://github.com/zhaojw1998/accomontage

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AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer

https://github.com/zhaojw1998/accomontage-3

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Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling

https://github.com/zhejinghu/upmt

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Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer

https://github.com/zhijie-group/lovecon

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LOVECon: Text-driven Training-Free Long Video Editing with ControlNet

https://github.com/zhijieW94/ETNet

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ETNet: Error Transition Network for Arbitrary Style Transfer

https://github.com/zhijin-ge/stm

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Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer

https://github.com/zhijing-jin/IMT

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IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation

https://github.com/zhijing-jin/IMaT

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IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation

https://github.com/zhijing-jin/Text_Style_Transfer_Survey

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Deep Learning for Text Style Transfer: A Survey

https://github.com/zhongliangguo/acdm

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Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack

https://github.com/zhongliangguo/fp-attack

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A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models

https://github.com/zhongniuniu/PAMRFuse-plus

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Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRI

https://github.com/zhoujiahuan1991/aaai2025-lreid-dask

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DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification

https://github.com/zhuang-li/vae-dprior

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Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.