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SSIM

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

https://github.com/evihuijben/ood_detection_mri

공식 코드

Enhancing Reconstruction-Based Out-of-Distribution Detection in Brain MRI with Model and Metric Ensembles

https://github.com/fab-jul/imgcomp-cvpr

공식 코드

Conditional Probability Models for Deep Image Compression

https://github.com/facebookresearch/fastMRI

공식 코드

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

https://github.com/faebstn96/helix2fan

공식 코드

On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting

https://github.com/faebstn96/trainable-bilateral-filter-source

공식 코드

Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography

https://github.com/fakerone-li/skipvar

공식 코드

SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping

https://github.com/fan-pixel/ur2p-dehaze

공식 코드

UR2P-Dehaze: Learning a Simple Image Dehaze Enhancer via Unpaired Rich Physical Prior

https://github.com/fanamber831/sgglc-net

공식 코드

Semantic-Guided Global-Local Collaborative Networks for Lightweight Image Super-Resolution

https://github.com/fau-lms/bjontegaard

공식 코드

The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be Wrong

https://github.com/fau-lms/dgnet

공식 코드

Cross Spectral Image Reconstruction Using a Deep Guided Neural Network

https://github.com/fau-lms/fast-occlusion-detection

공식 코드

Fast Edge-Aware Occlusion Detection in the Context of Multispectral Camera Arrays

https://github.com/fau-lms/viewport-adaptive-resampling

공식 코드

Improving Spherical Image Resampling through Viewport-Adaptivity

https://github.com/fcntes/indoordepth

공식 코드

Deeper into Self-Supervised Monocular Indoor Depth Estimation

https://github.com/fdarmon/neuralwarp

공식 코드

Improving neural implicit surfaces geometry with patch warping

https://github.com/fengyurenpingsheng/Learned-image-compression-with-GLLMM

공식 코드

Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules

https://github.com/finger-monkey/ReID_Adversarial_Defense

공식 코드

A Person Re-identification Data Augmentation Method with Adversarial Defense Effect

https://github.com/finnbehrendt/ensembled-ssim-for-unsupervised-anomaly-detection

공식 코드

Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection

https://github.com/fpramunno/ldm_superresolution

공식 코드

Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach

https://github.com/frccvpr/frc-loss

공식 코드

Image quality measurements and denoising using Fourier Ring Correlations

https://github.com/fsherry/bilevelmri

공식 코드

Learning the Sampling Pattern for MRI

https://github.com/fuhaiwang/dreamer

공식 코드

Dreamer: Dual-RIS-aided Imager in Complementary Modes

https://github.com/fyan111/rlfn

공식 코드

Residual Local Feature Network for Efficient Super-Resolution

https://github.com/fzimmermann89/cmrxrecon

공식 코드

NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps

https://github.com/ghl1995/denoise-gan-in-cryo-EM

공식 코드

Generative Adversarial Networks for Robust Cryo-EM Image Denoising

https://github.com/gistvision/dip-denosing

공식 코드

Rethinking Deep Image Prior for Denoising

https://github.com/giventicket/ssimbad-sigma-scaling-with-ssim-guided-balanced-diffusion-for-animeface-colorization

공식 코드

SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization

https://github.com/gongzix/neuroclips

공식 코드

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction

https://github.com/grasp-lyrl/nerftogsandback

공식 코드

From NeRFs to Gaussian Splats, and Back

https://github.com/gremlin97/detecting-and-refining-hirise-image-patches-obscured-by-atmospheric-dust

공식 코드

Detecting and Refining HiRISE Image Patches Obscured by Atmospheric Dust

https://github.com/guanlongzhao/single-image-dehazing

공식 코드

PAD-Net: A Perception-Aided Single Image Dehazing Network

https://github.com/gusanagy/udbe

공식 코드

UDBE: Unsupervised Diffusion-based Brightness Enhancement in Underwater Images

https://github.com/hangxiaotian/perceptual-multi-exposure-image-fusion

공식 코드

Perceptual Multi-Exposure Fusion

https://github.com/hanwen0529/DSCSI-GAN

공식 코드

Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning

https://github.com/hanzhouliu/deblurdinat

공식 코드

DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains

https://github.com/haotian-liu/LLaVA

공식 코드

Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models

https://github.com/harleyhk/ibunet

공식 코드

A Lightweight Inception Boosted U-Net Neural Network for Routability Prediction

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