Papers with Code 아카이브
Image-to-Image Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/dgedon/CycleGAN-for-Emojis
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/dhassault/cyclegan_pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/dipjyoti92/StarGAN-Voice-Conversion
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/dipjyoti92/StarGAN-Voice-Conversion-2
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/dishen12/py03
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/divyanshj16/SPADE
Semantic Image Synthesis with Spatially-Adaptive Normalization
https://github.com/djwhsdj/vw-sdk
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/dmdomo/AttentionGAN
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
https://github.com/dmizr/phuber
https://github.com/dnddnjs/pytorch-cifar10
https://github.com/domainadaptation/salad
https://github.com/dome272/VQGAN
https://github.com/dome272/vqgan-pytorch
https://github.com/donydchen/ganimation_replicate
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/dssbxx/k_labels_resnet50
https://github.com/duchaba/Norwegian_Blue_Parrot_k2fa_AI
https://github.com/dv-fenix/Domain-Adaptation
https://github.com/dwen3232/op-colorization
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/ecmeldmt/AttentionGAN-v0
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
https://github.com/edward3862/CariMe-pytorch
CariMe: Unpaired Caricature Generation with Multiple Exaggerations
https://github.com/edward3862/carime
CariMe: Unpaired Caricature Generation with Multiple Exaggerations
https://github.com/ehijano/Faster-RCNN-Global-Wheat-Detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/eladrich/pix2vertex.pytorch
Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
https://github.com/elliott-iadvize/ocr-aws-distributed
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/elliottwu/stext2image
Image Generation from Sketch Constraint Using Contextual GAN
https://github.com/elsa9421/cyclegan_readable
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/elvisyjlin/RelGAN-PyTorch
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
https://github.com/enstan/pix2pix_h5-
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/enzomuschik/distilfnd
https://github.com/epochlab/xres
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/eps696/stargan2
https://github.com/eric-erki/IdenProf
https://github.com/erictzeng/adda
https://github.com/eriklindernoren/Keras-GAN
https://github.com/eriklindernoren/PyTorch-GAN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.