Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration

Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He
2/9/2026

No confident code implementation found for this paper.

DOISemantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

PromptIR: Prompting for All-in-One Image Restoration

94% match2026

Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data

93% match2026

Global and Hierarchical Geometry Consistency Priors for Few-Shot NeRFs in Indoor Scenes

92% match1 repo142026

Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification

92% match2026

AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N

92% match1 repo522026

On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms

92% match2026

Cite this paper

@article{ai2026multimodal,
  title  = {Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration},
  author = {Yuang Ai and Huaibo Huang and Xiaoqiang Zhou and Jiexiang Wang and Ran He},
  year   = {2026},
  doi    = {10.1109/CVPR52733.2024.02403},
  url    = {https://arxiv.org/pdf/2312.02918},
  journal = {CVPR 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/3cfdbff284a401a5d7bd6808737f6ae2027de2c4.svg)](https://codeofpaper.com/paper/3cfdbff284a401a5d7bd6808737f6ae2027de2c4)

Discussion