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Repository for Realistic Blur Synthesis for Learning Image Deblurring
Models, dataset, results
This repository serves as a comprehensive research platform and toolkit for advancing machine learning, quantum computing, and large-scale scientific data analysis. It provides foundational frameworks for developing complex algorithmic systems, offering the necessary infrastructure for distributed training, computational graph execution, and high-performance model development. The project distinguishes itself by integrating specialized research domains with robust, privacy-preserving methodologies. It supports diverse scientific discovery through tools for quantum simulation, physics-informed
[CVPR2021] Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
The main features of zzh-tech/rscd are: Motion Deblurring, Related Restoration Tasks.
Projects with overlapping indexed features include: rimchang/rsblur — Repository for Realistic Blur Synthesis for Learning Image Deblurring. greatlog/realdan — Official implementation of our IJCV paper. hdcvlab/deblurring-by-realistic-blurring — Models, dataset, results. hdcvlab/mc-blur-dataset — We construct a large-scale multi-cause (MC-Blur) dataset for image deblurring. It consists of four blur types: uniform… jang2333/dartblur — DartBlur: Privacy Preservation with Detection Artifact Suppression. google-research/google-research — This repository serves as a comprehensive research platform and toolkit for advancing machine learning, quantum…
