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/Jiamian-Wang/HSI_baseline

공식 코드

A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging

https://github.com/JiaxiHe/Image-and-Video-Dehazing

공식 코드

Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization

https://github.com/JiayuYANG/Self-supervised-CVP-MVSNet

공식 코드

Self-supervised Learning of Depth Inference for Multi-view Stereo

https://github.com/JihyongOh/JSI-GAN

공식 코드

JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video

https://github.com/JingshuaiLiu/ASGAN

공식 코드

Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks

https://github.com/JingyunLiang/FKP

공식 코드

Flow-based Kernel Prior with Application to Blind Super-Resolution

https://github.com/JiwanSeo/RAQ-VAE

공식 코드

Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models

https://github.com/JungHeeKim29/DiffHDRsyn

공식 코드

End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images

https://github.com/KU-CVLAB/3DGAN-Inversion

공식 코드

3D GAN Inversion with Pose Optimization

https://github.com/KamitaniLab/GOD_stimuli_annotations

공식 코드

Spurious reconstruction from brain activity

https://github.com/Keziwen/Manifold_Net

공식 코드

Deep Manifold Learning for Dynamic MR Imaging

https://github.com/Keziwen/Unsupervised-via-TIS

공식 코드

An Unsupervised Deep Learning Method for Multi-coil Cine MRI

https://github.com/KishoreP1/DetailCLIP

공식 코드

DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks

https://github.com/Lizhe1228/MambaDFuse

공식 코드

MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion

https://github.com/LongguangWang/DASR

공식 코드

Unsupervised Degradation Representation Learning for Blind Super-Resolution

https://github.com/LorenzoOlearo/blending-diffusion-models

공식 코드

How to Blend Concepts in Diffusion Models

https://github.com/LukasMosser/PorousMediaGan

공식 코드

Reconstruction of three-dimensional porous media using generative adversarial neural networks

https://github.com/Lukeli0425/Coord-SoS-PACT

공식 코드

Self-Supervised Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography

https://github.com/M0574F4/LIC_TX

공식 코드

Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency

https://github.com/MIVRC/SSRDEFNet-PyTorch

공식 코드

Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation

https://github.com/MKJia/MGVQ

공식 코드

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization

https://github.com/MLI-lab/ConvDecoder

공식 코드

Accelerated MRI with Un-trained Neural Networks

https://github.com/MLI-lab/Robustness-CS

공식 코드

Measuring Robustness in Deep Learning Based Compressive Sensing

https://github.com/MRSRL/complex-networks-release

공식 코드

Analysis of Deep Complex-Valued Convolutional Neural Networks for MRI Reconstruction

https://github.com/MaStatLab/WARP

공식 코드

Learning Asymmetric and Local Features in Multi-Dimensional Data through Wavelets with Recursive Partitioning

https://github.com/Masaaki-75/proct

공식 코드

Prompted Contextual Transformer for Incomplete-View CT Reconstruction

https://github.com/MathFLDS/HUMUS-Net

공식 코드

HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction

https://github.com/MathFLDS/MRAugment

공식 코드

Data augmentation for deep learning based accelerated MRI reconstruction with limited data

https://github.com/MeggieGuo/AS-Net-for-PA-reconstruction

공식 코드

AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data

https://github.com/MengyingLei/GLSKF

공식 코드

Generalized Least Squares Kernelized Tensor Factorization

https://github.com/OSU-CMR/HICU

공식 코드

High-dimensional Fast Convolutional Framework (HICU) for Calibrationless MRI

https://github.com/Ouxiang-Li/Diff-MI

공식 코드

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models

https://github.com/P-Song/CDLMRI

공식 코드

Coupled Dictionary Learning for Multi-contrast MRI Reconstruction

https://github.com/PatrickTUM/SEN12MS-CR-TS

공식 코드

SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal

https://github.com/RRFar/Quantum-Downsampling-Filter

공식 코드

Quantum Down Sampling Filter for Variational Auto-encoder

https://github.com/RomGai/BrainVis

공식 코드

BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction

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