Papers with Code 아카이브
Unsupervised Image-To-Image Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 2
- 보존된 평가 기록
- 7
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.
Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples
Industrial-Grade Sensor Simulation via Gaussian Splatting: A Modular Framework for Scalable Editing and Full-Stack Validation
OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework
Semantically Robust Unsupervised Image Translation for Paired Remote Sensing Images
Unpaired Image-to-Image Translation with Content Preserving Perspective: A Review
Transferring Graph Neural Networks for Soft Sensor Modeling using Process Topologies
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval
LiHi-GS: LiDAR-Supervised Gaussian Splatting for Highway Driving Scene Reconstruction
Capacitive Touch Sensor Modeling With a Physics-informed Neural Network and Maxwell's Equations
Enhanced Unsupervised Image-to-Image Translation Using Contrastive Learning and Histogram of Oriented Gradients
Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation
LSE-NeRF: Learning Sensor Modeling Errors for Deblured Neural Radiance Fields with RGB-Event Stereo
Accelerated Real-Life (ARL) Testing and Characterization of Automotive LiDAR Sensors to facilitate the Development and Validation of Enhanced Sensor Models
NeuRAD: Neural Rendering for Autonomous Driving
Dense Multitask Learning to Reconfigure Comics
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes
GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Wavelet-based Unsupervised Label-to-Image Translation
Multi-cropping Contrastive Learning and Domain Consistency for Unsupervised Image-to-Image Translation
Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain Classification
Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution
Solving PDEs with Unmeasurable Source Terms Using Coupled Physics-Informed Neural Network with Recurrent Prediction for Soft Sensors
Augmenting Ego-Vehicle for Traffic Near-Miss and Accident Classification Dataset using Manipulating Conditional Style Translation
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation
A Framework for Generalizing Critical Heat Flux Detection Models Using Unsupervised Image-to-Image Translation
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
Unsupervised Image-to-Image Translation with Generative Prior
A Style-aware Discriminator for Controllable Image Translation
Learning to generate line drawings that convey geometry and semantics
Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Images
Multi-domain Unsupervised Image-to-Image Translation with Appearance Adaptive Convolution
Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.