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

https://github.com/souro/polarity-denoising-sentiment-transfer

공식 코드

Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising

https://github.com/souro/tst_llm

공식 코드

Are Large Language Models Actually Good at Text Style Transfer?

https://github.com/sshan-zhao/GASDA

공식 코드

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation

https://github.com/strawberryfg/NAPA-NST-HPE

공식 코드

NAPA: Neural Art Human Pose Amplifier

https://github.com/stringtron/quantative_style

공식 코드

Improving Style Transfer with Calibrated Metrics

https://github.com/sumuzhao/CycleGAN-Music-Style-Transfer

공식 코드

Symbolic Music Genre Transfer with CycleGAN

https://github.com/sunniesuhyoung/DST

공식 코드

Deformable Style Transfer

https://github.com/sunshower76/deep_trainslation_prior

공식 코드

Deep Translation Prior: Test-time Training for Photorealistic Style Transfer

https://github.com/suzgunmirac/crowd-sampling

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Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding

https://github.com/suzgunmirac/prompt-and-rerank

공식 코드

Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models

https://github.com/syw1996/SCIR-TG-Data2text-Bi-Aspect

공식 코드

Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation

https://github.com/tag-and-generate/Politeness-Transfer-A-Tag-and-Generate-Approach

공식 코드

Politeness Transfer: A Tag and Generate Approach

https://github.com/tangtaogo/lidar-nerf

공식 코드

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

https://github.com/tanyuqian/ctc-gen-eval

공식 코드

Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation

https://github.com/taozhen1110/cat-llm

공식 코드

CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style Transfer

https://github.com/tear-kitty/moedit

공식 코드

MoEdit: On Learning Quantity Perception for Multi-object Image Editing

https://github.com/tencentarc/t2i-adapter

공식 코드

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

https://github.com/textdetox/multilingual_explainable_paradetox

공식 코드

Multilingual and Explainable Text Detoxification with Parallel Corpora

https://github.com/the-learning-and-vision-atelier-lava/samst

공식 코드

Pluggable Style Representation Learning for Multi-Style Transfer

https://github.com/thevoidname/generalized-one-shot-gan-adaption

공식 코드

Generalized One-shot Domain Adaptation of Generative Adversarial Networks

https://github.com/thiagoambiel/PortraitStylization

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Portrait Stylization: Artistic Style Transfer with Auxiliary Networks for Human Face Stylization

https://github.com/thu-coai/NAST

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NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer

https://github.com/thudzj/StructuredGAN

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Structured Generative Adversarial Networks

https://github.com/thunlp/styleattack

공식 코드

Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer

https://github.com/tiantianwang/4d_video_stylization

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Towards 4D Human Video Stylization

https://github.com/tibhannover/iart-semi-pose

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Semi-supervised Human Pose Estimation in Art-historical Images

https://github.com/tiger-ai-lab/anyv2v

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AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks

https://github.com/tldr-group/superres

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Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks

https://github.com/toby-katakuri/lp_styletransfernet

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Multiscale style transfer based on a Laplacian pyramid for traditional Chinese painting

https://github.com/toughstonex/styledyrf

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StyleDyRF: Zero-shot 4D Style Transfer for Dynamic Neural Radiance Fields

https://github.com/trevorcanham/dcoupst

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Using Decoupled Features for Photo-realistic Style Transfer

https://github.com/tstafylakis/Speaker-Embeddings-Correlation-Pooling

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Speaker embeddings by modeling channel-wise correlations

https://github.com/tsujuifu/pytorch_ldast

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Language-Driven Image Style Transfer

https://github.com/tuhinjubcse/SimileGeneration-EMNLP2020

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Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation

https://github.com/tylfromseu/dpstyler

공식 코드

DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization

https://github.com/ucsb-nlp-chang/diffste

공식 코드

Improving Diffusion Models for Scene Text Editing with Dual Encoders

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