Official repository for RobustVisRAG: Causality-Aware Vision-Based Retrieval-Augmented Generation under Visual Degradations
Project Page | Paper | Dataset | Code
- Feb 2025: ✨ UniRestore was accepted into CVPR 2026!
RobustVisRAG enhances Vision-based Retrieval-Augmented Generation (VisRAG) under visual degradations through causality-guided semantic–degradation disentanglement. By explicitly separating degradation and semantic factors inside the vision encoder, our framework suppresses degradation-induced bias while preserving task-relevant representations — without introducing additional inference cost.
If you find this work useful, please consider citing us!
@misc{chen2026robustvisragcausalityawarevisionbasedretrievalaugmented,
title={RobustVisRAG: Causality-Aware Vision-Based Retrieval-Augmented Generation under Visual Degradations},
author={I-Hsiang Chen and Yu-Wei Liu and Tse-Yu Wu and Yu-Chien Chiang and Jen-Chien Yang and Wei-Ting Chen},
year={2026},
eprint={2602.22013},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2602.22013},
}