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Image-to-Image Translation

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하위 태스크: 11
평가표: 38
보존된 평가 기록: 195

Image-to-Image Translation is a task in computer vision and machine learning where the goal is to learn a mapping between an input image and an output image, such that the output image can be used to perform a specific task, such as style transfer, data augmentation, or image restoration.

<span style="color:grey; opacity: 0.6">( Image credit: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks )</span>

코드

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

https://github.com/mpatacchiola/Y-AE

공식 코드

Y-Autoencoders: disentangling latent representations via sequential-encoding

https://github.com/msseibel/accut

공식 코드

Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images

https://github.com/mu-cai/frequency-domain-image-translation

공식 코드

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving

https://github.com/nadeemlab/CEP

공식 코드

Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations

https://github.com/nehamjain10/trudgcr

공식 코드

Towards Realistic Underwater Dataset Generation and Color Restoration

https://github.com/nicecv/diffharmony

공식 코드

DiffHarmony: Latent Diffusion Model Meets Image Harmonization

https://github.com/nithin-gk/at-ddpm

공식 코드

AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models

https://github.com/nk-cs-zzl/ian

공식 코드

Designing An Illumination-Aware Network for Deep Image Relighting

https://github.com/noureddinekhiati/semi-supervised-lung-segmentation

공식 코드

Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentation

https://github.com/nvlabs/MUNIT

공식 코드

Multimodal Unsupervised Image-to-Image Translation

https://github.com/nvlabs/imaginaire

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COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder

https://github.com/onuriel/PermutedAdaIN

공식 코드

Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification

https://github.com/ood2iid/code

공식 코드

Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem

https://github.com/orpatashnik/BalaGAN

공식 코드

BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

https://github.com/patrickrperrine/comp-choreo

공식 코드

KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art

https://github.com/petrmokrov/energy-guided-entropic-ot

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Energy-guided Entropic Neural Optimal Transport

https://github.com/pfriedri/cwdm

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cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis

https://github.com/phoenix104104/fast_blind_video_consistency

공식 코드

Learning Blind Video Temporal Consistency

https://github.com/pix2pixzero/pix2pix-zero

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Zero-shot Image-to-Image Translation

https://github.com/project-monai/generativemodels

공식 코드

Generative AI for Medical Imaging: extending the MONAI Framework

https://github.com/pshams55/GAN-Case-Study

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Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies

https://github.com/puckikk1202/difffacesketch2023

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DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model

https://github.com/purmavishnuvardhanreddy/genselfdiff-his

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GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation

https://github.com/qiangwang57/coreg_flim_histology

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Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images

https://github.com/qianmingduowan/AIM2020-bokeh-BGNet

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BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh

https://github.com/qianmingduowan/Sat2Density

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Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs

https://github.com/qianyuzqy/CAMix

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Context-Aware Mixup for Domain Adaptive Semantic Segmentation

https://github.com/qianyuzqy/RCCR

공식 코드

Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency Regularization

https://github.com/qinenergy/corda

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Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation

https://github.com/qiuyu96/codef

공식 코드

CoDeF: Content Deformation Fields for Temporally Consistent Video Processing

https://github.com/rajiv1990/Unsupervised-Cross-domain-I2I-using-a-Shared-Discriminator

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Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared Discriminator

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

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Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling

https://github.com/retinal-research/cunsb-rfie

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CUNSB-RFIE: Context-aware Unpaired Neural Schr"{o}dinger Bridge in Retinal Fundus Image Enhancement

https://github.com/retinal-research/ote-gan

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Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images

https://github.com/retinal-research/redot

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OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing

https://github.com/richardobi/frd-score

공식 코드

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

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