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/sypsyp97/Trainable-Fourier-Series

공식 코드

Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series

https://github.com/sypsyp97/eagle_loss

공식 코드

EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction

https://github.com/tachella/equivariant_bootstrap

공식 코드

Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems

https://github.com/tachella/unsure

공식 코드

UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

https://github.com/tak-wong/THz-AutoEncoder

공식 코드

Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction

https://github.com/tamirshor7/multipilot

공식 코드

Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI

https://github.com/technioncomputationalmrilab/mbss-t1

공식 코드

MBSS-T1: Model-Based Subject-Specific Self-Supervised Motion Correction for Robust Cardiac T1 Mapping

https://github.com/tencent-ailab/frequency_aug_vae_moesr

공식 코드

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach

https://github.com/tencentarc/seed-voken

공식 코드

Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

https://github.com/ternencewu123/gautomri

공식 코드

Generalizable Learning Reconstruction for Accelerating MR Imaging via Federated Neural Architecture Search

https://github.com/ternencewu123/modfed

공식 코드

Model-based Federated Learning for Accurate MR Image Reconstruction from Undersampled k-space Data

https://github.com/tgisaturday/L-Verse

공식 코드

L-Verse: Bidirectional Generation Between Image and Text

https://github.com/theodore-pku/mc-ddpm

공식 코드

Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction

https://github.com/thisisvikki/itm-baseline

공식 코드

Lightweight Improved Residual Network for Efficient Inverse Tone Mapping

https://github.com/thoailt/cloud-removal

공식 코드

Cloud-Aware SAR Fusion for Enhanced Optical Sensing in Space Missions

https://github.com/tiago939/feature_aligment

공식 코드

Feature Alignment as a Generative Process

https://github.com/tiago939/feature_alignment

공식 코드

Feature Alignment as a Generative Process

https://github.com/tianhang-cheng/sfd

공식 코드

Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects

https://github.com/tianyu0207/MemMC-MAE

공식 코드

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder

https://github.com/tomer196/PILOT

공식 코드

PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI

https://github.com/tomer196/fastMRI-Cartesian

공식 코드

Joint learning of cartesian undersampling and reconstruction for accelerated MRI

https://github.com/tonyckc/uda-bua

공식 코드

Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment

https://github.com/toughstonex/u-mvs

공식 코드

Digging into Uncertainty in Self-supervised Multi-view Stereo

https://github.com/tub-rip/e2fai

공식 코드

Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras

https://github.com/tub-rip/event_based_image_rec_inverse_problem

공식 코드

Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow

https://github.com/tudelft/filled-disparity-monodepth

공식 코드

Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes

https://github.com/tue-mps/road-as-graph

공식 코드

Self-Supervised Road Layout Parsing with Graph Auto-Encoding

https://github.com/turna1/genai-for-goods

공식 코드

Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection

https://github.com/ucsc-vlaa/swinmm

공식 코드

SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

https://github.com/uecker/vcc-espirit

공식 코드

Estimating Absolute-Phase Maps Using ESPIRiT and Virtual Conjugate Coils

https://github.com/um-dsrg/rumpy

공식 코드

The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks

https://github.com/uncbiag/2D3DFluidReg

공식 코드

Fluid registration between lung CT and stationary chest tomosynthesis images

https://github.com/uncbiag/pstrip

공식 코드

Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach

https://github.com/usstdqq/deep-adaptive-sampling-mask

공식 코드

Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction

https://github.com/utcsilab/deep-jsense

공식 코드

Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization

https://github.com/utcsilab/gsure-diffusion-mri

공식 코드

Robust multi-coil MRI reconstruction via self-supervised denoising

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