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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/yigitgunduc/tensor-to-image

공식 코드

Tensor-to-Image: Image-to-Image Translation with Vision Transformers

https://github.com/yigitgunduc/vit-gan

공식 코드

Vit-GAN: Image-to-image Translation with Vision Transformes and Conditional GANS

https://github.com/yikaiw/CEN

공식 코드

Deep Multimodal Fusion by Channel Exchanging

https://github.com/yikaiw/TokenFusion

공식 코드

Multimodal Token Fusion for Vision Transformers

https://github.com/yilmazkorkmaz1/i2i-galip

공식 코드

I2I-Galip: Unsupervised Medical Image Translation Using Generative Adversarial CLIP

https://github.com/ykykyk112/STIG

공식 코드

Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile

https://github.com/yongqyu/TCN

공식 코드

Typeface Completion with Generative Adversarial Networks

https://github.com/youyuge34/PI-REC

공식 코드

PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain

https://github.com/yueatsprograms/uda_release

공식 코드

Unsupervised Domain Adaptation through Self-Supervision

https://github.com/yuhuayc/da-faster-rcnn

공식 코드

Domain Adaptive Faster R-CNN for Object Detection in the Wild

https://github.com/yunyanxing/pairwise_xray_augmentation

공식 코드

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation

https://github.com/yuval-alaluf/SAM

공식 코드

Only a Matter of Style: Age Transformation Using a Style-Based Regression Model

https://github.com/yuval-alaluf/restyle-encoder

공식 코드

ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement

https://github.com/yuxinn-j/scenimefy

공식 코드

Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation

https://github.com/yuyangxueed/reconunlearning

공식 코드

Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction

https://github.com/yxgong0/STIG

공식 코드

Generating Text Sequence Images for Recognition

https://github.com/yzou2/CBST

공식 코드

Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training

https://github.com/yzou2/CRST

공식 코드

Confidence Regularized Self-Training

https://github.com/zeconloss/zecon

공식 코드

Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer

https://github.com/zhangqianhui/SGGAN-tensorflow

공식 코드

Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation

https://github.com/zhangqianhui/Sawn

공식 코드

Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization

https://github.com/zhangqianhui/Sparsely-Grouped-GAN

공식 코드

Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation

https://github.com/zhangxiaoyu11/omitrans

공식 코드

OmiTrans: generative adversarial networks based omics-to-omics translation framework

https://github.com/zhaoyuzhi/childpredictor

공식 코드

ChildPredictor: A Child Face Prediction Framework with Disentangled Learning

https://github.com/zhihefang/SN-DCR/tree/main/SN-DCR-main

공식 코드

Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translation

https://github.com/zhiyuns/UNITPathSSL

공식 코드

Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images

https://github.com/znxlwm/UGATIT-pytorch

공식 코드

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

https://github.com/zsyzzsoft/co-mod-gan

공식 코드

Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

https://github.com/zunzhumu/adaptive-group-wise-interaction-network-for-multimodal-mri-synthesis

공식 코드

Learning Modality-Aware Representations: Adaptive Group-wise Interaction Network for Multimodal MRI Synthesis

https://gitlab.com/cian.unibas.ch/diffusion-anomaly

공식 코드

Diffusion Models for Medical Anomaly Detection

https://gitlab.com/nct_tso_public/constructs

공식 코드

Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications

https://gitlab.com/nct_tso_public/laparoscopic-image-2-image-translation

공식 코드

Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation

https://huggingface.co/spaces/emc348/faces-through-time

공식 코드

What's in a Decade? Transforming Faces Through Time

https://renkulab.io/gitlab/firat.ozdemir/oadat-evaluate

공식 코드

OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing

https://github.com/01pooja10/Sketch-to-Shoe

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/2023-MindSpore-1/ms-code-134

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

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