深度学习引导的相关内容

文章 2024-09-14 来自：开发者社区

深度学习之文本引导的图像编辑

基于深度学习的文本引导的图像编辑（Text-Guided Image Editing）是一种通过自然语言文本指令对图像进行编辑或修改的技术。它结合了图像生成和自然语言处理（NLP）的最新进展，使用户能够通过描述性文本对图像内容进行精确的调整和操控。 1. 文本引导的图像编辑的挑战文本和图像之间的对齐：如何将文本中的语义信息准确地映射到图像中的特定区域或元素是一个关键挑战。这涉及...

文章 2023-01-18 来自：开发者社区

2022最新综述！稀疏数据下的深度图补全（深度学习/非引导/RGB引导）（下）

训练模型的学习目标由于深度补全和单目深度估计具有相同的目标输出，即预测密集深度图，因此它们共享相同的学习目标，例如深度损失、表面法线损失和光度损失，常见的loss如下所示：数据集和评估指标在本节中，将详细介绍以前工作中常用的基准数据集，还全面调查了相关数据集，以供参考。数据集KITTI...

文章 2023-01-18 来自：开发者社区

2022最新综述！稀疏数据下的深度图补全（深度学习/非引导/RGB引导）（上）

论文：Deep Depth Completion from Extremely Sparse Data: A Survey摘要获取正确的像素级场景深度在各种任务中发挥着重要作用，如场景理解、自动驾驶、机器人导航、同时定位和建图、智能农业和增强现实。因此，这是过去几十年来研究的一个长期目标。获得场景深度的一种成本有效的方法是使用单目深度估计算法࿰...

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更新时间 2024-09-15 12:17:26

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