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Drawing Pictures

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

https://github.com/postech-cvlab/style-agnostic-rl

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Style-Agnostic Reinforcement Learning

https://github.com/prerna135/prose-for-a-painting

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Prose for a Painting

https://github.com/prgumd/0-MMS

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0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera

https://github.com/pschaldenbrand/styleclipdraw

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StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis

https://github.com/qiaott/AncientPainitng2NaturalImage

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Ancient Painting to Natural Image: A New Solution for Painting Processing

https://github.com/r-j96/stainfuser

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StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images

https://github.com/rahulbhalley/cyclegan-qp

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Artist Style Transfer Via Quadratic Potential

https://github.com/ranery/Bayesian-CycleGAN

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Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling

https://github.com/raosudha89/GYAFC-corpus

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Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer

https://github.com/reiinakano/neural-painters-pytorch

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Neural Painters: A learned differentiable constraint for generating brushstroke paintings

https://github.com/rem105-210/difffashion

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DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models

https://github.com/renanrojasg/adv_robust_autoencoder

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Inverting Adversarially Robust Networks for Image Synthesis

https://github.com/researchmm/sttr

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Fine-Grained Image Style Transfer with Visual Transformers

https://github.com/rezashkv/diffusion_pruning

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Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models

https://github.com/riccardomarin/InstantRecoveryFromSpectrum

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Instant recovery of shape from spectrum via latent space connections

https://github.com/rikiyay/style-transfer-for-digital-pathology

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Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation

https://github.com/ristea/cycle-transformer

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CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation

https://github.com/ritual-uh/da_ner

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Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition

https://github.com/rocavincent/iguane_harmonization

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IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR images

https://github.com/rocketappslab/bdmm

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Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer

https://github.com/ron-amit/pac_bayes_reg

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Integral Probability Metrics PAC-Bayes Bounds

https://github.com/rtqichen/style-swap

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Fast Patch-based Style Transfer of Arbitrary Style

https://github.com/ruiqixu37/BTTS_ECAI2023

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Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training

https://github.com/ry3ng/sa-lut

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SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer

https://github.com/ryanchenyn/imageinversion

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Image Inversion: A Survey from GANs to Diffusion and Beyond

https://github.com/s-enmt/pseudodomainbed

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Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization

https://github.com/s-nlp/formality

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Detecting Text Formality: A Study of Text Classification Approaches

https://github.com/s-nlp/lewit-informal

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Don't lose the message while paraphrasing: A study on content preserving style transfer

https://github.com/s603122001/Bidirectional-Music-Style-Transformer

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Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience

https://github.com/sabithsn/appdia-discourse-style-transfer

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APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations

https://github.com/sagiebenaim/DistanceGAN

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One-Sided Unsupervised Domain Mapping

https://github.com/saic-mdal/HiDT

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High-Resolution Daytime Translation Without Domain Labels

https://github.com/sakaridis/MGCDA

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Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation

https://github.com/salesforce/edict

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EDICT: Exact Diffusion Inversion via Coupled Transformations

https://github.com/sanghunpark/neural_crossbreed

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Neural Crossbreed: Neural Based Image Metamorphosis

https://github.com/sberbank-ai/ru-gpts

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Methods for Detoxification of Texts for the Russian Language

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