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Drawing Pictures

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코드

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

https://github.com/ZJULearning/CariFaceParsing

공식 코드

Weakly-supervised Caricature Face Parsing through Domain Adaptation

https://github.com/ZZUTK/SRNTT

공식 코드

Image Super-Resolution by Neural Texture Transfer

https://github.com/ZZWaang/polyphonic-chord-texture-disentanglement

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Learning Interpretable Representation for Controllable Polyphonic Music Generation

https://github.com/ZhongliangGuo/LAACA

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

https://github.com/ZszYmy9/Puff-Net

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Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network

https://github.com/aaronz345/gtsinger

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GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks

https://github.com/aaronz345/tcsinger2

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TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis

https://github.com/abertsch72/perspective-shifting

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He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues

https://github.com/abhibha1807/robustifying_visual_perception

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Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer

https://github.com/abhinavkashyap/dct

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So Different Yet So Alike! Constrained Unsupervised Text Style Transfer

https://github.com/adobe-research/domain-expansion

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HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation

https://github.com/afrozas/skip-thought-gan

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Generating Text through Adversarial Training using Skip-Thought Vectors

https://github.com/agwabom/pema

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PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models

https://github.com/aigagror/wasserstein-style-transfer

공식 코드

Style is a Distribution of Features

https://github.com/aioz-ai/audiodrivenstyletransfer

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Style Transfer for 2D Talking Head Animation

https://github.com/air-discover/lasst

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Language-guided Semantic Style Transfer of 3D Indoor Scenes

https://github.com/airl-iisc/MRFP

공식 코드

MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation

https://github.com/akashpalrecha/hyperspectral-reconstruction

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MXR-U-Nets for Real Time Hyperspectral Reconstruction

https://github.com/akshaymehra24/riskaversedg

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On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization

https://github.com/alexrodpas/BACON

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BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer

https://github.com/aliaksandrsiarohin/bae

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Enhancing Perceptual Attributes with Bayesian Style Generation

https://github.com/aliayub7/EEC

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EEC: Learning to Encode and Regenerate Images for Continual Learning

https://github.com/alienzhang1996/s2wat

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S2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window Attention

https://github.com/allambert/torch_itl

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Emotion Transfer Using Vector-Valued Infinite Task Learning

https://github.com/allenai/tailor

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Tailor: Generating and Perturbing Text with Semantic Controls

https://github.com/amirdahari1/superres

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

https://github.com/angelvillar96/STLPose

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Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning

https://github.com/anon-nlp-1234/da-nlg

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Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking

https://github.com/anon294384/diffuseit

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Diffusion-based Image Translation using Disentangled Style and Content Representation

https://github.com/aramir62/da-nlg

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Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking

https://github.com/architect-road/icongan

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Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels

https://github.com/arnab39/Semi-supervised-segmentation-cycleGAN

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Revisiting CycleGAN for semi-supervised segmentation

https://github.com/artiprocher/sd-webui-fastblend

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FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier

https://github.com/asaakyan/explain-st

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ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer

https://github.com/ashkanpakzad/atn

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Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis

https://github.com/asindel/artfacepoints

공식 코드

ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints

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