Papers with Code 아카이브
Image Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
- 8
- 보존된 평가 기록
- 35
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ivy9092111111/rstar
공식 코드RSTAR4D: Rotational Streak Artifact Reduction in 4D CBCT using a Separable 4D CNN
https://github.com/iwuqing/arssr
공식 코드An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation
https://github.com/iwuqing/scope
공식 코드Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
https://github.com/j-duan/VS-Net
공식 코드VS-Net: Variable splitting network for accelerated parallel MRI reconstruction
https://github.com/jackzou233/rawhdr
공식 코드RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image
https://github.com/jaegercq/slingbag
공식 코드https://github.com/jaejin-cho/miccai2023
공식 코드Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction
https://github.com/jaejin-cho/wave-modl
공식 코드Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction
https://github.com/jakeoung/BayesianUnrolling
공식 코드A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems
https://github.com/jbartlett6/accelerated-first-order-method-for-variational-imaging
공식 코드https://github.com/jcs15c/optimal_ultrasound_encoding
공식 코드https://github.com/jcy132/DML_CT
공식 코드Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising
https://github.com/jemtan/PII
공식 코드https://github.com/jhornauer/mde_ood
공식 코드Out-of-Distribution Detection for Monocular Depth Estimation
https://github.com/jiahong-fu/kxnet
공식 코드KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
https://github.com/jiamian-wang/mask_uncertainty_spectral_sci
공식 코드Modeling Mask Uncertainty in Hyperspectral Image Reconstruction
https://github.com/jiamian-wang/s2-transformer-hsi
공식 코드S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction
https://github.com/jingfeng-lu/deep-ultrafast-echocardiography
공식 코드Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography
https://github.com/jingyunliang/swinir
공식 코드https://github.com/jiny2001/dcscn-super-resolution
공식 코드Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network
https://github.com/jinyeying/DC-ShadowNet-Hard-and-Soft-Shadow-Removal
공식 코드https://github.com/jmaces/robust-nets
공식 코드Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
https://github.com/joaquimcampos/htv-learn
공식 코드Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation
https://github.com/jorgebaccauis/Deep_Prior_Low_Rank
공식 코드Compressive Spectral Image Reconstruction using Deep Prior and Low-Rank Tensor Representation
https://github.com/josiahwsmith10/Efficient-3-D-Near-Field-MIMO-SAR-Imaging-for-Irregular-Scanning-Geometries
공식 코드Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries
https://github.com/josiahwsmith10/thz-and-sub-thz-imaging-toolbox
공식 코드https://github.com/jpeg-aic/dataset-jpeg-ai-sdr25
공식 코드Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression
https://github.com/jqtangust/epce-hdr
공식 코드High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation
https://github.com/jqtangust/filmremoval
공식 코드Learning to Remove Wrinkled Transparent Film with Polarized Prior
https://github.com/js3611/Deep-MRI-Reconstruction
공식 코드A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
https://github.com/juglab/FourierImageTransformer
공식 코드https://github.com/junfu1995/sgh
공식 코드Scale Guided Hypernetwork for Blind Super-Resolution Image Quality Assessment
https://github.com/justlfc03/tc-diffrecon
공식 코드https://github.com/jyunlee/im2hands
공식 코드Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes
https://github.com/kakaobrain/rq-vae-transformer
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.