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CVPR2024Top-tier venue

Diff-Plugin: Revitalizing Details for Diffusion-Based Low-Level Tasks

Yuhao Liu, Zhanghan Ke, Fang Liu, Nanxuan Zhao, Rynson W. H. Lau

2024Year
26Top-tier citations

Abstract

Please help me enhance the lighting of this photo." " I need to remove the snow in this photo." "… clear haze …" "remove snow and haze" Figure 1. Real-world applications of Diff-Plugin visualized across distinct single-type and one multi-type low-level vision tasks. Diff-Plugin allows users to selectively conduct interested low-level vision tasks via natural languages and can generate high-fidelity results.

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