Papers with Code 아카이브
Image-to-Image Translation
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- 평가표
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- 보존된 평가 기록
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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/vrkh1996/IPU-Net
공식 코드https://github.com/vt-vl-lab/Guided-pix2pix
공식 코드Guided Image-to-Image Translation with Bi-Directional Feature Transformation
https://github.com/warmongeringbeaver/phendiff
공식 코드PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images
https://github.com/warvito/generative_monai
공식 코드Generative AI for Medical Imaging: extending the MONAI Framework
https://github.com/wasidennis/AdaptSegNet
공식 코드Learning to Adapt Structured Output Space for Semantic Segmentation
https://github.com/weepiess/StyleFlow-Content-Fixed-I2I
공식 코드https://github.com/weichenfan/hierarchyflow
공식 코드https://github.com/weihaox/DCMIT
공식 코드https://github.com/wendybaiyunwei/fsl-rectifier-pub
공식 코드FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
https://github.com/williamyang1991/gp-unit
공식 코드Unsupervised Image-to-Image Translation with Generative Prior
https://github.com/wltjr1007/FDEN
공식 코드A Plug-in Method for Representation Factorization in Connectionist Models
https://github.com/xchenz/invertavatar_page
공식 코드InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars
https://github.com/xh-liu/CC-FPSE
공식 코드Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
https://github.com/xianggao1102/fbsdiff
공식 코드https://github.com/xianggao1102/fcdiffusion
공식 코드Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation
https://github.com/xianggao1102/learning-to-incorporate-texture-saliency-adaptive-attention-to-image-cartoonization
공식 코드Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
https://github.com/xiaoachen98/DDB
공식 코드Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
https://github.com/xiaohu-zheng/deep-mc-qr
공식 코드https://github.com/xinario/awesome-gan-for-medical-imaging
공식 코드https://github.com/xjqicuhk/SIMS
공식 코드https://github.com/xjtu-xgu/kpg-rl
공식 코드https://github.com/xjtu-xgu/otcs
공식 코드Optimal Transport-Guided Conditional Score-Based Diffusion Models
https://github.com/xuekt98/bbdm
공식 코드BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
https://github.com/yamand16/ear2face
공식 코드https://github.com/yandex-research/navigan
공식 코드Navigating the GAN Parameter Space for Semantic Image Editing
https://github.com/yaxingwang/DeepI2I
공식 코드DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
https://github.com/yaxingwang/SDIT
공식 코드https://github.com/yaxingwang/SEMIT
공식 코드Semi-supervised Learning for Few-shot Image-to-Image Translation
https://github.com/yeshaokai/Calibrator-Domain-Adaptation
공식 코드Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
https://github.com/ygjwd12345/GLANet
공식 코드Global and Local Alignment Networks for Unpaired Image-to-Image Translation
https://github.com/yhlleo/DWC-GAN
공식 코드Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
https://github.com/yhlleo/GMM-UNIT
공식 코드https://github.com/yhlleo/RG-UNIT
공식 코드Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation
https://github.com/yhlleo/stylegan-mmuit
공식 코드ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation
https://github.com/yhsong98/ct-us-i2i-translation
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.