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

https://github.com/jwen307/diamondintherough

공식 코드

Diamond in the rough: Improving image realism by traversing the GAN latent space

https://github.com/kartikeypant/text-simplification-qa-www2021

공식 코드

Text Simplification for Comprehension-based Question-Answering

https://github.com/katieluo88/staypositive

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Stay Positive: Non-Negative Image Synthesis for Augmented Reality

https://github.com/kedz/styleeq

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Low-Level Linguistic Controls for Style Transfer and Content Preservation

https://github.com/keithecarlson/StyleTransferBibleData

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Evaluating prose style transfer with the Bible

https://github.com/kent0n-li/samscore

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SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation

https://github.com/keonlee9420/STYLER

공식 코드

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech

https://github.com/keshavbhandari/improvnet

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ImprovNet -- Generating Controllable Musical Improvisations with Iterative Corruption Refinement

https://github.com/khainb/quasi-sw

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Quasi-Monte Carlo for 3D Sliced Wasserstein

https://github.com/kibeom-hong/aespa-net

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AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks

https://github.com/kibeom-hong/domain-aware-style-transfer

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Domain-Aware Universal Style Transfer

https://github.com/kikyo-16/coco-mulla-repo

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Content-based Controls For Music Large Language Modeling

https://github.com/kingjamessong/fastdifferentiablematsqrt

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Fast Differentiable Matrix Square Root and Inverse Square Root

https://github.com/kornelhowil/clipgaussian

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CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting

https://github.com/kwanyun/LeGO_code

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LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example

https://github.com/kwanyun/StyleSketch

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Stylized Face Sketch Extraction via Generative Prior with Limited Data

https://github.com/laihuiyuan/Pre-trained-formality-transfer

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Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer

https://github.com/laihuiyuan/eval-formality-transfer

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Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer

https://github.com/laihuiyuan/generic-resources-for-tst

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Generic resources are what you need: Style transfer tasks without task-specific parallel training data

https://github.com/laihuiyuan/multilingual-tst

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Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer

https://github.com/lancopku/Augmented_Data_for_FST

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Parallel Data Augmentation for Formality Style Transfer

https://github.com/lbsswu/Chinese_style_transfer

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Neural Abstract Style Transfer for Chinese Traditional Painting

https://github.com/ldzhangyx/vis2mus

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Vis2Mus: Exploring Multimodal Representation Mapping for Controllable Music Generation

https://github.com/leekyungmoon/XDED

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Cross-Domain Ensemble Distillation for Domain Generalization

https://github.com/leongatys/NeuralImageSynthesis

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Controlling Perceptual Factors in Neural Style Transfer

https://github.com/lephuoccat/Supervised-Encoding-Quantizer

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Supervised Encoding for Discrete Representation Learning

https://github.com/liangchen527/itta

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Improved Test-Time Adaptation for Domain Generalization

https://github.com/lidan1/PhotoSketchMAN

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High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks

https://github.com/lijuncen/Sentiment-and-Style-Transfer

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Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

https://github.com/limingcv/Photorealistic-Style-Transfer

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High-Resolution Network for Photorealistic Style Transfer

https://github.com/linear95/rlm

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Replacing Language Model for Style Transfer

https://github.com/linfengWen98/CAP-VSTNet

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CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer

https://github.com/linllll/maskst

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Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models

https://github.com/linnanwang/AlphaX-NASBench101

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AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search

https://github.com/lishaoxu1994/diffstyler

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DiffStyler: Diffusion-based Localized Image Style Transfer

https://github.com/lishaoxu1994/instant-nerf-stylization

공식 코드

Instant Photorealistic Neural Radiance Fields Stylization

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