https://github.com/testestzxcv/DeblurGAN
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Papers with Code 아카이브
Deblurring
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Deblurring is a computer vision task that involves removing the blurring artifacts from images or videos to restore the original, sharp content. Blurring can be caused by various factors such as camera shake, fast motion, and out-of-focus objects, and can result in a loss of detail and quality in the captured images. The goal of deblurring is to produce a clear, high-quality image that accurately represents the original scene.
<span style="color:grey; opacity: 0.6">( Image credit: Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/themathgeek13/STdeblur
https://github.com/theotziol/Depth-images-Denoising
https://github.com/tomtirer/BP-term
Back-Projection based Fidelity Term for Ill-Posed Linear Inverse Problems
https://github.com/topdu/openocr
AutoSTR: Efficient Backbone Search for Scene Text Recognition
https://github.com/txyugood/Restormer_Paddle
Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/umautobots/pixelwise-deblurring
https://github.com/vashiegaran/DE-GAN-Implementation-Using-PyTorch
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
https://github.com/vcarehuman/YoloPose
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/visinf/deblur-devil
https://github.com/vision-xl/codes
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
https://github.com/vita-group/deblurganv2
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/vlis2022/awesome-image-prior
https://github.com/vztu/maxim-pytorch
https://github.com/whywww/Neumann_Networks_PyTorch
https://github.com/winswang/int-event-fusion
https://github.com/wustl-cig/FLAIR
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
https://github.com/xg416/DATUM
Recurrent Video Restoration Transformer with Guided Deformable Attention
https://github.com/xiangyu-liu/DBSR
Gated Fusion Network for Joint Image Deblurring and Super-Resolution
https://github.com/xypeng9903/k-diffusion-inverse-problems
Diffusion Posterior Sampling for General Noisy Inverse Problems
https://github.com/zhjwustc/cvpr18_rnn_deblur_matcaffe
https://github.com/zhusiling/EDVR
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.