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

https://github.com/linjx-ustc1106/TuiGAN-PyTorch

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TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images

https://github.com/linjx-ustc1106/ZstGAN-PyTorch

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ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation

https://github.com/littlewhitesea/360pant

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360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation

https://github.com/liuzhengzhe/Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild

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Global Texture Enhancement for Fake Face Detection in the Wild

https://github.com/liyunsheng13/BDL

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Bidirectional Learning for Domain Adaptation of Semantic Segmentation

https://github.com/ljjcoder/ehtdi

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Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation

https://github.com/ls4gan/benchmarking

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UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation

https://github.com/ls4gan/uvcgan

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UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation

https://github.com/ls4gan/uvcgan2

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UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image Translation

https://github.com/lslrh/cpsl

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Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation

https://github.com/lucatirel/pix2pix-wgangp

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Novel Hybrid Integrated Pix2Pix and WGAN Model with Gradient Penalty for Binary Images Denoising

https://github.com/lukemelas/pixmatch

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PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training

https://github.com/luyvlei/BiSMAPs

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Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation

https://github.com/machinevision-seoultech/evci

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Image-to-Image Translation-based Data Augmentation for Robust EV Charging Inlet Detection

https://github.com/mahfuzmohammad/brainomaly

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Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images

https://github.com/mahfuzmohammad/healthygan

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HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease

https://github.com/mamadou-keita/fidavl

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FIDAVL: Fake Image Detection and Attribution using Vision-Language Model

https://github.com/manugar/imagestyletransfer

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Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation

https://github.com/mariiadrozdova/diffusion-for-sources-characterisation

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Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model

https://github.com/matansel/pix2vertex

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Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation

https://github.com/matt-bendel/rcgan

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A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems

https://github.com/matteomaspero/overview_sct

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Deep learning-based synthetic-CT generation in radiotherapy and PET: a review

https://github.com/mazurowski-lab/RaD

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Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets

https://github.com/mazurowski-lab/medical-image-similarity-metrics

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Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets

https://github.com/mbanani/novelviewpoints

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Novel Object Viewpoint Estimation through Reconstruction Alignment

https://github.com/mchong6/GANsNRoses

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GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)

https://github.com/mchong6/SOAT

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StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN

https://github.com/merlresearch/SteeredDiffusion

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Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis

https://github.com/meteahishali/ada-net

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ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery

https://github.com/meteahishali/r2c-gan

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R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification

https://github.com/microsoft/AcousticScatteringData

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Fast acoustic scattering using convolutional neural networks

https://github.com/microsoft/CoCosNet-v2

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CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

https://github.com/microsoft/ProDA

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Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

https://github.com/mid-push/irwgan

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Unaligned Image-to-Image Translation by Learning to Reweight

https://github.com/miemieyanga/ResiDualGAN-DRDG

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ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic Segmentation

https://github.com/mil-tokyo/MCD_DA

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Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

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