Papers with Code 아카이브
Image Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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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/zhengchen1999/rgt
공식 코드Recursive Generalization Transformer for Image Super-Resolution
https://github.com/zhentao-liu/klt-jnd
공식 코드Towards Top-Down Just Noticeable Difference Estimation of Natural Images
https://github.com/zhishenhuang/mri
공식 코드Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI
https://github.com/zhishenhuang/rlsamp
공식 코드Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences
https://github.com/zhongniuniu/u3s-pat
공식 코드https://github.com/zhsun0357/seeing-far-in-the-dark-with-patterned-flash
공식 코드https://github.com/zhu-xlab/planet-cr
공식 코드https://github.com/zhuoxucui/k_unn
공식 코드https://github.com/zi-yuanyang/hyperfed
공식 코드Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging
https://github.com/zihuiwu/TACKLE
공식 코드https://github.com/ziyunliang/mmccd
공식 코드Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI
https://github.com/zj-binxia/kdsr
공식 코드Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
https://github.com/zj-binxia/mrda
공식 코드Meta-Learning based Degradation Representation for Blind Super-Resolution
https://github.com/zolento/mdpg
공식 코드MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction
https://github.com/ztmotalee/regformer
공식 코드Exploiting Regional Information Transformer for Single Image Deraining
https://gitlab.com/Tachella/sketched_lidar
공식 코드A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar
https://gitlab.com/abhe/syntheticpet-trpms22
공식 코드https://gitlab.com/alen.joy/multi-view-gradient-consistency-for-svbrdf-estimation-of-complex-scenes-under-natural-illumination
공식 코드Multi-view Gradient Consistency for SVBRDF Estimation of Complex Scenes under Natural Illumination
https://gitlab.com/cian.unibas.ch/position-regression
공식 코드https://gitlab.com/jpchen1/em-reconstruction-with-ewald
공식 코드A new solution to the curved Ewald sphere problem for 3D image reconstruction in electron microscopy
https://gitlab.lms.tf.fau.de/LMS/gpu-fsr
공식 코드Real-Time Frequency Selective Reconstruction through Register-Based Argmax Calculation
https://renkulab.io/gitlab/firat.ozdemir/oadat-evaluate
공식 코드OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing
https://github.com/01pooja10/Sketch-to-Shoe
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/0606zt/panollama
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
https://github.com/12dmodel/camera_sim
Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation
https://github.com/1lol/pMRI-Net
Deep Parallel MRI Reconstruction Network Without Coil Sensitivities
https://github.com/20151001860/Real_ESRGAN_paddle
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/ESRGAN
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
https://github.com/2023-MindSpore-1/ms-code-213/tree/main/FaceQualityAssessment
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/Pix2PixHD
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/AI-for-Ocean-Science/ulmo
https://github.com/AbhinavTalari/Night2Day
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/Adi-iitd/AI-Art
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/AdrianArnaiz/Brain-MRI-Autoencoder
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.