Popular GitHub Repositories for Illumination Correction

Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

Official Code Release for [SIGGRAPH 2025] RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination

NeuSpell: A Neural Spelling Correction Toolkit

A fast, low-resource Natural Language Processing and Text Correction library written in Rust.

??Woodpecker: Hallucination Correction for Multimodal Large Language Models

NLP in Python with Deep Learning

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

? [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

Neural Factorization of Shape and Reflectance Under an Unknown Illumination

White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

[ECCV 2022] Relighting4D: Neural Relightable Human from Videos

PyTorch impelementations of BERT-based Spelling Error Correction Models. 基于BERT的文本纠错模型，使用PyTorch实现。

The hanzi similar tool.(汉字相似度计算工具，中文形近字算法。可用于手写汉字识别纠正，文本混淆等。)

State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language