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

https://github.com/mindspore-lab/mindediting

공식 코드

Tunable Convolutions with Parametric Multi-Loss Optimization

https://github.com/mingkaid/rl-prompt

공식 코드

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

https://github.com/mingsun-tse/collaborative-distillation

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Collaborative Distillation for Ultra-Resolution Universal Style Transfer

https://github.com/mingzi151/interpretationdata

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It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data

https://github.com/mireshghallah/style-pooling

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Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness

https://github.com/monkeyseedocg/momo-code

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Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer

https://github.com/mrzzy2021/styledmotionsynthesis

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Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models

https://github.com/msracver/Style-Feature-Reshuffle

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Arbitrary Style Transfer with Deep Feature Reshuffle

https://github.com/multimedialabsfu/learned-point-cloud-compression-for-classification

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Learned Compression for Images and Point Clouds

https://github.com/multimodal-art-projection/yue

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YuE: Scaling Open Foundation Models for Long-Form Music Generation

https://github.com/nadavc220/semanticsegmentationinartpaintings

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Semantic Segmentation in Art Paintings

https://github.com/nadeemlab/deepliif

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An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

https://github.com/naver-ai/Visual-Style-Prompting

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Visual Style Prompting with Swapping Self-Attention

https://github.com/nazmul-karim170/Free-Editor

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Free-Editor: Zero-shot Text-driven 3D Scene Editing

https://github.com/nazmul-karim170/save-tex2video

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SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-driven Video Editing

https://github.com/nbalepur/text-fact-transfer

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Text Fact Transfer

https://github.com/nchinaev/MobileFace

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MobileFace: 3D Face Reconstruction with Efficient CNN Regression

https://github.com/neuralchen/ASMAGAN

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Anisotropic Stroke Control for Multiple Artists Style Transfer

https://github.com/neuroethology/TREBA

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The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions

https://github.com/newbeeer/orthogonal_classifier

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Controlling Directions Orthogonal to a Classifier

https://github.com/nightldj/behance_release

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Learning from Multi-domain Artistic Images for Arbitrary Style Transfer

https://github.com/nikosefth/crafting-shifts

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Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization

https://github.com/nikosefth/im2rbte

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Edge Augmentation for Large-Scale Sketch Recognition without Sketches

https://github.com/ninatu/in_style

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In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval

https://github.com/ninikolov/lha

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Large-scale Hierarchical Alignment for Data-driven Text Rewriting

https://github.com/nipdep/STGAN

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Neural Artistic Style Transfer with Conditional Adversaria

https://github.com/njuhuojing/mast

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Manifold Alignment for Semantically Aligned Style Transfer

https://github.com/nkolkin13/STROTSS

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Style Transfer by Relaxed Optimal Transport and Self-Similarity

https://github.com/nkolkin13/neuralneighborstyletransfer

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Neural Neighbor Style Transfer

https://github.com/nktoan/causal-inference-via-style-transfer-for-ood-generalisation

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Causal Inference via Style Transfer for Out-of-distribution Generalisation

https://github.com/noabrazilay/missgan

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MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation

https://github.com/odegeasslbc/Self-Supervised-Sketch-to-Image-Synthesis-PyTorch

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Self-Supervised Sketch-to-Image Synthesis

https://github.com/olawod/freevc

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Improving Data Augmentation-based Cross-Speaker Style Transfer for TTS with Singing Voice, Style Filtering, and F0 Matching

https://github.com/oldbirdaz/mssrnet_style_transfer

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MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer

https://github.com/omerbt/Splice

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Splicing ViT Features for Semantic Appearance Transfer

https://github.com/omnai-lab/implicit-inversion

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Implicit Inversion turns CLIP into a Decoder

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