This review provides a detailed assessment of scene-graph-based image generation by organizing current methods into different categories and examining their advantages and limitations. We also discuss the datasets used for training, the evaluation measures applied to assess model performance, and the key...
图片场景图生成任务(Image scene graph generation)目标是让计算机自动生成一种语义化的图结构(称为 scene graph,场景图),作为图像的表示。图像中的目标对应 graph node,目标间的关系对应 graph edge(目标的各种属性,如颜色,有时会在图中表示)。 这种结构化表示方法相对于向量表示更加直观,可以看做是小型知识图谱,...
这里咋issue中有人指出这个图片的最后的go有问题,因为v3是头节点所以应该使用gs进行处理 下面代码片段来自simsg/simsg/graph.py/ class GraphTripleConv(nn.Module): 这是上述中的第一个net的代码端,输出2H+Dout 目前看到的片段就是输入端为一个三元组。 这是图网络关于节点输出的中间步骤,聚集操作 通过代码可以...
Sketching Image Gist Human-Mimetic Hierarchical Scene Graph Generation 2020场景图论文阅读 摘要 场景图反应了人对图像内容的感知,“当人的固有感知习惯存在的时候,会在场景分离过程中存在一个人类偏好的层次结构。它把场景定义成 一系列图像区域组成的仿人层次示意图(Hierarchical Entity Tree),具体流程就是用混合LSTM...
针对这样的三个挑战,作者提出 image generation network f,输入 scene graph G 和 噪声 z 输出一张图: f由Graph Convolution Network、Layout prediction、Cascaded Refinement Network 三部分组成,见下图: 1. Scene Graph 给定物体类别集合C,关系类别集合R,一个 scene graph 可表示为元组 (O, E),其中O是graph中...
Awesome-Scene-Graph-Generation 🎨 IntroductionA scene graph is a topological structure representing a scene described in text, image, video, or etc. In this graph, the nodes correspond to object bounding boxes with their category labels and attributes, while the edges represent the pair-wise ...
scene graph generation,基本都是在faster rcnn基础上检测出图片的物体后,两两配对识别他们的关系,这样做是很有效但是很低效,毕竟并不是所有物体都有关系的,这样做太耗时间了...faster rcnn后我们得到n个物体,照以往的做法这时候需要预测n*(n-1)个relation,但是并不是所有的物体两两之间都有关系的,比如人和马...
因为Scene Graph Generation by Iterative Message Passing有明显的随迭代次数退化问题,中加入Attention机制(应该有些许改进,但估计不会大) 同理,按说在上文的迭代中加入Residual应该也可以解决退化的问题,但是为什么Scene Graph Generation from Objects, Phrases and Region Captions加了但没有用 ...
To address these challenges, we present ISG, a comprehensive evaluation framework for interleaved text-and-image generation. ISG leverages a scene graph structure to capture relationships between text and image blocks, evaluating responses on four levels of granularity: holistic, structural, block-level...
A scene graph is a structured representation of an image, where nodes in a scene graph correspond to object bounding boxes with their object categories, and edges correspond to their pairwise relationships between objects. The task of Scene Graph Generation is to generate a visually-grounded scene...