Diff-Plugin: Revitalizing Details for Diffusion-Based Low-Level Tasks
Yuhao Liu, Zhanghan Ke, Fang Liu, Nanxuan Zhao, Rynson W. H. Lau
2024年份
26顶会引用
摘要
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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引用它的顶会 Paper26
- PromptFix: You Prompt and We Fix the PhotoYongsheng Yu, Ziyun Zeng, Hang Hua, Jianlong Fu 等NeurIPS 2024 · 被引用 55 次
- 4KAgent: Agentic Any Image to 4K Super-ResolutionYushen Zuo, Qi Zheng, Mingyang Wu, Xinrui Jiang 等NeurIPS 2025 · 被引用 51 次
- Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired TrainingYunwei Lan, Zhigao Cui, Chang Liu, Jialun Peng 等AAAI 2025 · 被引用 39 次
- AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image EnhancementYunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu 等AAAI 2025 · 被引用 28 次
- AWRaCLe: All-Weather Image Restoration Using Visual In-Context LearningSudarshan Rajagopalan, Vishal M. PatelAAAI 2025 · 被引用 20 次
它引用的顶会 Paper56
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
- A Simple Framework for Contrastive Learning of Visual RepresentationsTing Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. HintonICML 2020 · 被引用 24,064 次
- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 被引用 13,211 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
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