论文官方githubgithub.com/yandex-research/ddpm-segmentation 这是我找到的近年第一篇甚至是唯一一篇在顶会上发布的有关于“Diffusion Model+representation learning”相关的文章。调研的其他会议ICLR2022、ICML2022、ECCV2022的diffusion相关内容可以参考我之前的文章: ICML 2022 Diffusion Model 个人总结 - 知乎 (zhihu...
@article{baranchuk2021label, title={Label-efficient semantic segmentation with diffusion models}, author={Baranchuk, Dmitry and Rubachev, Ivan and Voynov, Andrey and Khrulkov, Valentin and Babenko, …
Official implementation of the paperLabel-Efficient Semantic Segmentation with Diffusion Models This code is based ondatasetGANandguided-diffusion. Note:use--recurse-submoduleswhen clone. Overview The paper investigates the representations learned by the state-of-the-art DDPMs and shows that they capture...
We propose a novel method, namely Diff2Scene, which leverages frozen representations from text-image generative models, along with salient-aware and geometric-aware masks, for open-vocabulary 3D semantic segmentation and visual grounding tasks. Diff2Scene gets rid of any labeled 3D data and ...
在扩散模型(Diffusion Models)中进行语义分割时,使用开放词汇表注意力图(Open-Vocabulary Attention Maps)与标记优化(Token Optimization)是一种创新且有效的方法。以下是对这一技术的详细解释: 开放词汇表注意力图: 概念:开放词汇表注意力图是指在处理图像或文本数据时,模型能够关注并理解一个开放词汇表中的词汇,而不...
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models 🛠️ Getting Started with DiffuMask Conda env installation conda create -n DiffuMask python=3.8 conda activate DiffuMask install pydensecrf https://github.com/lucasb-eyer/pydensecrf pip inst...
Weakly Supervised Semantic Segmentation (WSSS) with classification labels typically uses Class Activation Maps to localize the object based on Convolutional Neural Networks (CNN). With limited receptive fields, CNN-based CAMs often fail to localize the w
ExFuse: Enhancing Feature Fusion for Semantic Segmentation - ECCV2018 - Face++<Paper> DifNet: Semantic Segmentation by Diffusion Networks - 2018<Paper> Convolutional CRFs for Semantic Segmentation - 2018<Paper><Code-PyTorch> ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-...
2. Related Work Open-vocabulary semantic segmentation. Classical ap- proaches to the task [2, 54, 64] attempt to learn visual em- beddings that align with pre-defined text embeddings [36, 37]. However, the limited vocabulary of the words has been the major bottl...
Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models ECCV2024 Andy 北邮 计算机科学与技术 博士研究生 9 人赞同了该文章 这篇文章来自CMU、Google Deepmind和HKUST。 3D场景理解中的一个重要问题是3D标注的匮乏,所以很多方法都希望利用2D模型强大的能力帮助3D模型提升性能,这篇文章也是如此,...