ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
Authors: Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia
NeurIPS 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experiments demonstrate that Re FIR can achieve not only high-fidelity but also realistic restoration results. |
| Researcher Affiliation | Collaboration | Hang Guo1 Tao Dai 2 Zhihao Ouyang3 Taolin Zhang1 Yaohua Zha1 Bin Chen4 Shu-tao Xia1,5 1Tsinghua University 2Shenzhen University 3Aitist.ai 4Harbin Institute of Technology 5Peng Cheng Laboratory |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | Yes | https://github.com/csguoh/Re FIR |
| Open Datasets | Yes | The datasets for this setting employ the widely used Ref SR dataset including CUFED5 [56, 57] and WR-SR [47]... And we use DIV2K [58] as the high-quality image database for retrieval... |
| Dataset Splits | No | The paper uses standard datasets like CUFED5 and WR-SR and mentions Real Photo60 for evaluation, but does not explicitly provide training/validation/test dataset splits, percentages, or methodologies for how these splits were created or used for their specific experiments. |
| Hardware Specification | Yes | We use an input image with the resolution of 2048 × 2048 to evaluate the GPU memory and the inference time on one single 80G NVIDIA A100 GPU. |
| Software Dependencies | No | The paper does not explicitly provide specific software dependencies with version numbers. |
| Experiment Setup | Yes | For a fair comparison, we use one reference image if not specified... the ILQ is up-sampled to the desired size using Bicubic... We use reflective padding... We use fixed random seeds... The hyperparameters of different baselines follow their original settings... In practice, we adopt a moderate s = 0.5 to trade off the hallucination and the overuse of the reference image. |