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Unsupervised Image-To-Image Translation
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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.
Disentangled Unsupervised Image Translation via Restricted Information Flow
Separating Content and Style for Unsupervised Image-to-Image Translation
Estimating Image Depth in the Comics Domain
Unaligned Image-to-Image Translation by Learning to Reweight
Thermal Image Processing via Physics-Inspired Deep Networks
Auto-encoder based Model for High-dimensional Imbalanced Industrial Data
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint
Underwater Image Restoration via Contrastive Learning and a Real-world Dataset
Federated CycleGAN for Privacy-Preserving Image-to-Image Translation
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation
Few-Shot Unsupervised Image-to-Image Translation on complex scenes
Contrastive Learning for Unsupervised Image-to-Image Translation
Systematic Categorization of Influencing Factors on Radar-Based Perception to Facilitate Complex Real-World Data Evaluation
Dual Contrastive Learning for Unsupervised Image-to-Image Translation
Memory-guided Unsupervised Image-to-image Translation
SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation
Single Underwater Image Restoration by Contrastive Learning
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
Learning to Drop Points for LiDAR Scan Synthesis
A Review of Testing Object-Based Environment Perception for Safe Automated Driving
Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared Discriminator
Asynchronous Multi-View SLAM
Six-channel Image Representation for Cross-domain Object Detection
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network
Spectral Synthesis for Satellite-to-Satellite Translation
GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation
Unsupervised MRI Reconstruction with Generative Adversarial Networks
Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
Toward Zero-Shot Unsupervised Image-to-Image Translation
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