Papers with Code 아카이브

Image Reconstruction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

5

평가표

8

보존된 평가 기록

35

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/kctezcan/sampling

공식 코드

Sampling possible reconstructions of undersampled acquisitions in MR imaging

https://github.com/ketanfatania/qmri-pnp-recon-poc

공식 코드

A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers

https://github.com/keytoyze/visionts

공식 코드

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

https://github.com/khammernik/sigmanet

공식 코드

$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction

https://github.com/khawar512/cvpr

공식 코드

Image Compression with Recurrent Neural Network and Generalized Divisive Normalization

https://github.com/koflera/DynamicRadCineMRI

공식 코드

An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction

https://github.com/koflera/convsparsitynns

공식 코드

Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks

https://github.com/kunzhan/brainguard

공식 코드

BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities

https://github.com/kylekma/X2CT

공식 코드

X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks

https://github.com/kynthesis/StarSRGAN

공식 코드

StarSRGAN: Improving Real-World Blind Super-Resolution

https://github.com/laiyingxin2/gm-df

공식 코드

GM-DF: Generalized Multi-Scenario Deepfake Detection

https://github.com/lara-kassab/qtrk-code

공식 코드

Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems

https://github.com/larsonlab/dnlinv

공식 코드

Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction

https://github.com/lcbkmm/tc-kanrecon

공식 코드

TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling

https://github.com/lei-wang-github/DeepPS2

공식 코드

DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images

https://github.com/leon-bungert/blind_remote_sensing

공식 코드

Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation

https://github.com/leon-bungert/robust_guided_reconstruction

공식 코드

Robust Image Reconstruction with Misaligned Structural Information

https://github.com/leonsuarez24/dkdcis

공식 코드

Distilling Knowledge for Designing Computational Imaging Systems

https://github.com/lewandofskee/DiAD

공식 코드

DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection

https://github.com/lgm70/smug

공식 코드

SMUG: Towards robust MRI reconstruction by smoothed unrolling

https://github.com/lhf12278/samhdr

공식 코드

Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging

https://github.com/liamchalcroft/contrast-squared

공식 코드

Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning

https://github.com/liamchalcroft/qsynth

공식 코드

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

https://github.com/liaoliang2020/talgebra

공식 코드

Generalized Image Reconstruction over T-Algebra

https://github.com/ligpy/qgso

공식 코드

Exploring Quasi-Global Solutions to Compound Lens Based Computational Imaging Systems

https://github.com/lihenryhfl/diffusion_optimal_control

공식 코드

Solving Inverse Problems via Diffusion Optimal Control

https://github.com/lijunzhang01/cefa

공식 코드

A Plug-and-Play Method for Rare Human-Object Interactions Detection by Bridging Domain Gap

https://github.com/lincoln20030413/ddsr

공식 코드

Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIs

https://github.com/linev8k/cxr-fl-privacy

공식 코드

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data

https://github.com/linev8k/invert-gradients-cxr

공식 코드

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data

https://github.com/linfengyu77/irldct

공식 코드

Low-Dose CT Reconstruction Using Dataset-free Learning

https://github.com/lingqiz/optimal-measurement

공식 코드

Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models

https://github.com/liouxy/tfnet_pytorch

공식 코드

Remote Sensing Image Fusion Based on Two-stream Fusion Network

https://github.com/littlepure2333/mindbridge

공식 코드

MindBridge: A Cross-Subject Brain Decoding Framework

https://github.com/liujin112/portraitdiffusion

공식 코드

Portrait Diffusion: Training-free Face Stylization with Chain-of-Painting

https://github.com/liutianlin0121/ISTA-U-Net

공식 코드

Learning Multiscale Convolutional Dictionaries for Image Reconstruction

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.