Papers with Code 아카이브
Image Reconstruction
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
3D Magnetic Inverse Routine for Single-Segment Magnetic Field Images
The model is the message: Lightweight convolutional autoencoders applied to noisy imaging data for planetary science and astrobiology
MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization
Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Image Generation
LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models
Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting
MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction
Vision Transformer-Based Time-Series Image Reconstruction for Cloud-Filling Applications
Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction
Cloud-Aware SAR Fusion for Enhanced Optical Sensing in Space Missions
A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks
From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction
Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching
Improved Image Reconstruction and Diffusion Parameter Estimation Using a Temporal Convolutional Network Model of Gradient Trajectory Errors
Imaging at the quantum limit with convolutional neural networks
PF-LHM: 3D Animatable Avatar Reconstruction from Pose-free Articulated Human Images
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution
DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction
Stroke-based Cyclic Amplifier: Image Super-Resolution at Arbitrary Ultra-Large Scales
SpectralAR: Spectral Autoregressive Visual Generation
Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
sparseGeoHOPCA: A Geometric Solution to Sparse Higher-Order PCA Without Covariance Estimation
Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction
Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations
Image Reconstruction as a Tool for Feature Analysis
VIVAT: Virtuous Improving VAE Training through Artifact Mitigation
Generative Learning of Differentiable Object Models for Compositional Interpretation of Complex Scenes
NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery
Implicit Neural Representation-Based MRI Reconstruction Method with Sensitivity Map Constraints
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction
Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction
Enhancing Neural Autoregressive Distribution Estimators for Image Reconstruction
unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.