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/shoji9x9/CIFAR-10-By-small-ResNet
https://github.com/shoji9x9/Fashion-MNIST-By-ResNet
https://github.com/shreshtashetty/CycleGANPhototoMonet
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/shreyasrajesh/DA-Object-Detection
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/shridhivyah/starGAN
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/shtnkgm/VisionFrameworkSample
https://github.com/shuliyao/GANimation_TL
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/siddharthbhonge/Neural_Style_transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sidify/resnet_focal_loss
https://github.com/sidneykingsley/fyp
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/sidneykingsley/pix2pix-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/sigtot/unet-auto
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/silgena/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/silvandeleemput/memcnn
Reversible GANs for Memory-efficient Image-to-Image Translation
https://github.com/simo-bat/Crack_detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/singh-shakti94/Deep-Learning-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sitegui/ceci-nest-pas-un-chat
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sitharakannan/inf
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/skabbit/pix2pix-webcam
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/skkuse02/2019fall_41class_team8
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/smc-x/ms-resnetv2
https://github.com/smerdov/DataCollectionSystem
https://github.com/smhall97/deep_dreaming_music
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/snjstudent/DRIT_pp
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations
https://github.com/songquanpeng/XploreGAN
https://github.com/soumik12345/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/soumith/convnet-benchmarks
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/souravverma94/pre_trained_imgclassifier_dogBreeds
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sovit-123/Deep-Learning-Image-Captioning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/spiridonoff/Monet
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/sppsps/VGG-16-classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sroutray/da-ganin
https://github.com/sroutray/pix2pix-isola
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/sss20young/Chuibbo-Flask-Server
https://github.com/stefanos50/CARLA2Real
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.