CVPR2024
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration
Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He
摘要
Figure 1. Our MPerceiver excels in image restoration tasks with: (I) All-in-one: Addressing diverse degradations, including challenging mixed ones, through a single pretrained network. (II) Zero-shot: Handling training-unseen degradations effortlessly. (III) Few-shot: Adapting to new tasks with minimal data (about 3%-5% of data used by task-specific methods).