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Image-to-Image Translation
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- 평가표
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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>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution
Novel Hybrid Integrated Pix2Pix and WGAN Model with Gradient Penalty for Binary Images Denoising
Efficient Training with Denoised Neural Weights
When Synthetic Traces Hide Real Content: Analysis of Stable Diffusion Image Laundering
Synthetic to Authentic: Transferring Realism to 3D Face Renderings for Boosting Face Recognition
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model
A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization, Noise Reduction, and Impact on Cardiovascular Risk Markers
Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation
Regularized Distribution Matching Distillation for One-step Unpaired Image-to-Image Translation
2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction
Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations
Npix2Cpix: A GAN-Based Image-to-Image Translation Network With Retrieval- Classification Integration for Watermark Retrieval From Historical Document Images
S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
Imitating the Functionality of Image-to-Image Models Using a Single Example
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
Similarity and Quality Metrics for MR Image-To-Image Translation
Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentation
Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation
Distilling Diffusion Models into Conditional GANs
Towards Inclusive Face Recognition Through Synthetic Ethnicity Alteration
Mapping New Realities: Ground Truth Image Creation with Pix2Pix Image-to-Image Translation
SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Generation
Multi-Sensor Diffusion-Driven Optical Image Translation for Large-Scale Applications
Exploring selective image matching methods for zero-shot and few-sample unsupervised domain adaptation of urban canopy prediction
WB LUTs: Contrastive Learning for White Balancing Lookup Tables
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint
Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model
DiffHarmony: Latent Diffusion Model Meets Image Harmonization
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.