Papers with Code 아카이브
Unsupervised Image-To-Image Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Unsupervised image-to-image translation is the task of doing image-to-image translation without ground truth image-to-image pairings.
<span style="color:grey; opacity: 0.6">( Image credit: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Semi-Supervised Image-to-Image Translation
Unsupervised Image-to-Image Translation with Self-Attention Networks
InstaGAN: Instance-aware Image-to-Image Translation
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound
Refacing: reconstructing anonymized facial features using GANs
Unsupervised Facial Geometry Learning for Sketch to Photo Synthesis
Improving Shape Deformation in Unsupervised Image-to-Image Translation
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks
Specular-to-Diffuse Translation for Multi-View Reconstruction
One-Shot Unsupervised Cross Domain Translation
Unsupervised Video-to-Video Translation
Unsupervised Attention-guided Image to Image Translation
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency
XOGAN: One-to-Many Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Invertible Autoencoder for domain adaptation
Estimating the Success of Unsupervised Image to Image Translation
Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
One-Sided Unsupervised Domain Mapping
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Unsupervised Image-to-Image Translation Networks
Adversarial Discriminative Domain Adaptation
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
Unsupervised Cross-Domain Image Generation
Unsupervised Domain Adaptation by Backpropagation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.