当前位置: 首页> 文旅> 艺术 > 最新图像修复论文汇总(2024年以来)(三)

最新图像修复论文汇总(2024年以来)(三)

时间:2025/7/9 1:18:22来源:https://blog.csdn.net/u014546828/article/details/141101502 浏览次数:0次

汇总了自2024年以来新提出的高质量图像修复工作,包含扩散模型、transformer、mamba、sam等最前沿的技术,其中一些是ICLR、ICML、CVPR、ECCV、ACM MM 2024年的新作。

这里是第三部分,还有两部分请参阅。

最新图像修复论文汇总(2024年以来)(一)-CSDN博客

最新图像修复论文汇总(2024年以来)(二)-CSDN博客

这篇博客先做简单汇总,后续我还会逐一阅读和学习,并逐一写详细的博客介绍。

目录

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

Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model

Learning Diffusion Texture Priors for Image Restoration

A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting

BrushNet : A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

PowerPaint: A Versatile Image Inpainting Model

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model

Plug-and-Play image restoration with Stochastic deNOising REgularization

ALMRR: Anomaly Localization Mamba on Industrial Textured Surface with Feature Reconstruction and Refinement

Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration

A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting

SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning


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

https://arxiv.org/pdf/2312.02918

Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model

GitHub - iSEE-Laboratory/DiffUIR: The official implementation of the paper of CVPR2024: Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model

CVPR2024

Learning Diffusion Texture Priors for Image Restoration

CVPR2024

A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting

https://arxiv.org/pdf/2312.03594

BrushNet : A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

BrushNet Project

PowerPaint: A Versatile Image Inpainting Model

eccv 2024

https://github.com/open-mmlab/PowerPaint

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model

Diffree Project

https://arxiv.org/pdf/2407.16982

Plug-and-Play image restoration with Stochastic deNOising REgularization

ICML 2024

GitHub - Marien-RENAUD/SNORE

https://arxiv.org/pdf/2402.01779

ALMRR: Anomaly Localization Mamba on Industrial Textured Surface with Feature Reconstruction and Refinement

https://arxiv.org/pdf/2407.17705

Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration

https://arxiv.org/pdf/2407.03636

A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting

PowerPaint Project

GitHub  

https://arxiv.org/pdf/2312.03594

SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning

https://arxiv.org/pdf/2401.11847v1

关键字:最新图像修复论文汇总(2024年以来)(三)

版权声明:

本网仅为发布的内容提供存储空间,不对发表、转载的内容提供任何形式的保证。凡本网注明“来源:XXX网络”的作品,均转载自其它媒体,著作权归作者所有,商业转载请联系作者获得授权,非商业转载请注明出处。

我们尊重并感谢每一位作者,均已注明文章来源和作者。如因作品内容、版权或其它问题,请及时与我们联系,联系邮箱:809451989@qq.com,投稿邮箱:809451989@qq.com

责任编辑: