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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization
CleanPatrick: A Benchmark for Image Data Cleaning
X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models
ORL-LDM: Offline Reinforcement Learning Guided Latent Diffusion Model Super-Resolution Reconstruction
Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-Net
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
GRNN:Recurrent Neural Network based on Ghost Features for Video Super-Resolution
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models
Removing Watermarks with Partial Regeneration using Semantic Information
Skeleton-Guided Diffusion Model for Accurate Foot X-ray Synthesis in Hallux Valgus Diagnosis
Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression
A Deep Learning-Driven Inhalation Injury Grading Assistant Using Bronchoscopy Images
GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models
Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference
UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes
Deep Unrolled Meta-Learning for Multi-Coil and Multi-Modality MRI with Adaptive Optimization
MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction
Integrated Image Reconstruction and Target Recognition based on Deep Learning Technique
EOPose : Exemplar-based object reposing using Generalized Pose Correspondences
MRI motion correction via efficient residual-guided denoising diffusion probabilistic models
Revolutionizing Brain Tumor Imaging: Generating Synthetic 3D FA Maps from T1-Weighted MRI using CycleGAN Models
Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution
Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
UNet with Axial Transformer : A Neural Weather Model for Precipitation Nowcasting
Adaptive Weight Modified Riesz Mean Filter For High-Density Salt and Pepper Noise Removal
STCL:Curriculum learning Strategies for deep learning image steganography models
DPMambaIR:All-in-One Image Restoration via Degradation-Aware Prompt State Space Model
CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning
ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance
ECGDeDRDNet: A deep learning-based method for Electrocardiogram noise removal using a double recurrent dense network
IXGS-Intraoperative 3D Reconstruction from Sparse, Arbitrarily Posed Real X-rays
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor Mapping
How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.