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  1. Learning Generalizable Skills from Offline Multi-Task Data for Multi ...

    Mar 27, 2025 · To tackle these challenges, we propose Hierarchical and Separate Skill Discovery (HiSSD), a novel approach for generalizable offline multi-task MARL through skill learning. HiSSD …

  2. HiSD 详解 CVPR 2021 Oral - 知乎

    Mar 6, 2021 · HiSD 中主要的流程是。 src经过encode (E) 提取特征,ref经过Extractors (F)提取特征,然后两个特征经过translators(T)特征融合,最后经过decode(G)产生融合后的图片。 文章HiSD网 …

  3. HiSD: Image-to-image Translation via Hierarchical Style ... - GitHub

    Mar 11, 2021 · HiSD is the SOTA image-to-image translation method for both Scalability for multiple labels and Controllable Diversity with impressive disentanglement. The styles to manipolate each tag …

  4. 【人脸生成】HiSD-通过层级风格解耦实现图到图的迁移

    Jul 31, 2022 · 【人脸生成】HiSD-通过层级风格解耦实现图到图的迁移_image-to-image translation via hierarchical style -CSDN博客

  5. Home - Houston Independent School District

    HISD is proud to be a rapidly improving school system. As of August 2025, there are no longer F rated campuses in HISD and 75% of HISD students walk into in A & B rated schools each morning.

  6. 厦门大学 | HiSD:基于分层风格解耦的图像到图像转换 ...

    Mar 3, 2021 · 在本文中,我们提出了分层风格解耦(HiSD)来解决此问题。 具体来说,我们将标签组织成分层的树状结构,其中独立的标签,排他属性和解开的样式从上到下分配。 相应地,设计了一种 …

  7. task-specific skills in each task for fine-grained action execution. To tackle these challenges, we propose Hierarchical and Separate Skill Discovery (HiSSD), a novel appr ach for gen-eralizable ofline multi …

  8. CVPR 2021突破性进展:人脸属性风格解耦技术详解 - Baidu

    Aug 28, 2024 · 本文介绍了CVPR 2021中一项重要研究——人脸属性风格解耦(HiSD),该技术通过无监督学习,实现了对人脸图像中多属性的精准控制与解耦,极大地提升了图像翻译的多样性和可控性。

  9. HiSD 开源项目最佳实践教程 - AtomGit | GitCode博客

    May 6, 2025 · 1. 项目介绍 HiSD(High-Definition Super-Resolution Dataset)是一个用于高清超分辨率图像生成的数据集和开源项目。 该项目旨在为研究者和开发者提供一个高质量的数据集,以及相应 …

  10. CVPR 2021突破:人脸属性风格解耦技术深度解析

    Aug 28, 2024 · 随着CVPR 2021的召开,一项名为人脸属性风格解耦(Hierarchical Style Disentanglement, HiSD)的技术脱颖而出,为这一领域带来了革命性的突破。 本文将简明扼要地介 …