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/nonu116/HDR-GAN

공식 코드

HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions

https://github.com/novicefodder/os-medseg

공식 코드

Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation

https://github.com/npucvr/wscuod

공식 코드

Weakly-supervised Contrastive Learning for Unsupervised Object Discovery

https://github.com/nvlabs/smrd

공식 코드

SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models

https://github.com/odlgroup/odl

공식 코드

Learned Primal-dual Reconstruction

https://github.com/oktaykarakus/Cauchy-Proximal-Splitting-CPS-Algorithm

공식 코드

Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based Penalties

https://github.com/oliland/lensless-primal-dual

공식 코드

Unrolled Primal-Dual Networks for Lensless Cameras

https://github.com/olivier-jaubert/image_reconstruction_inter4k

공식 코드

Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction

https://github.com/omnai-lab/implicit-inversion

공식 코드

Implicit Inversion turns CLIP into a Decoder

https://github.com/oppo-us-research/FA-VAE

공식 코드

Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder

https://github.com/osu-mr/discus

공식 코드

An unsupervised method for MRI recovery: Deep image prior with structured sparsity

https://github.com/osu-mr/reside

공식 코드

MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data

https://github.com/pandafriedlich/relax_qmri_recon

공식 코드

Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction

https://github.com/paulkogni/mr-recon-uq

공식 코드

Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction

https://github.com/phernst/pd-unet

공식 코드

Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction

https://github.com/phernst/pd-unet-conebeam

공식 코드

Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction

https://github.com/photosynthesis-team/piq

공식 코드

Image Quality Assessment for Magnetic Resonance Imaging

https://github.com/phyrise/nnUNet_translation

공식 코드

Anatomical feature-prioritized loss for enhanced MR to CT translation

https://github.com/pkuliyi2015/sd-webui-stablesr

공식 코드

Exploiting Diffusion Prior for Real-World Image Super-Resolution

https://github.com/pnu-amilab/cleric

공식 코드

Learned Image Compression and Restoration for Digital Pathology

https://github.com/ppn-paper/ppn

공식 코드

Fast Controllable Diffusion Models for Undersampled MRI Reconstruction

https://github.com/pputzky/invertible_rim

공식 코드

Invert to Learn to Invert

https://github.com/prajwalsingh/eegstylegan-ada

공식 코드

Learning Robust Deep Visual Representations from EEG Brain Recordings

https://github.com/pravin1390/ScaledPnP

공식 코드

Fixed-Point and Objective Convergence of Plug-and-Play Algorithms

https://github.com/pravin1390/averageddeepdenoiser

공식 코드

Averaged Deep Denoisers for Image Regularization

https://github.com/princeton-computational-imaging/DirtyPixels

공식 코드

Dirty Pixels: Towards End-to-End Image Processing and Perception

https://github.com/project-monai/generativemodels

공식 코드

Generative AI for Medical Imaging: extending the MONAI Framework

https://github.com/promise-z5q2sq/eeg-imagenet-dataset

공식 코드

EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity Labels

https://github.com/qic999/fsmnet

공식 코드

Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning

https://github.com/qingze-bai/xctdiff

공식 코드

XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection Image

https://github.com/qiustander/siprnet

공식 코드

SiSPRNet: End-to-End Learning for Single-Shot Phase Retrieval

https://github.com/qjy415417122/sa-roundtrip

공식 코드

Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler

https://github.com/quanato607/xlstm-hved

공식 코드

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision XLSTM and Heteromodal Variational Encoder-Decoder

https://github.com/quentin-duchemin/mrf-crbloss

공식 코드

Cramér-Rao bound-informed training of neural networks for quantitative MRI

https://github.com/question110/omnirwkvsr

공식 코드

Exploring Linear Attention Alternative for Single Image Super-Resolution

https://github.com/rahul-gs-16/sdlformer

공식 코드

SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image Reconstruction

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