2019 IEEE/CVF International Conference on Computer Vision (ICCV) 2019
DOI: 10.1109/iccv.2019.00462
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Neural Turtle Graphics for Modeling City Road Layouts

Abstract: Figure 1: We introduce Neural Turtle Graphics (NTG), a deep generative model for planar graphs. In the Figure, we show NTG's applications to (interactive) city road layout generation and parsing. AbstractWe propose Neural Turtle Graphics (NTG), a novel generative model for spatial graphs, and demonstrate its applications in modeling city road layouts. Specifically, we represent the road layout using a graph where nodes in the graph represent control points and edges in the graph represents road segments. NTG i… Show more

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Cited by 80 publications
(46 citation statements)
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“…State-of-the-art approaches that demonstrate the use of labels derived from OSM for finding roads and/or buildings in overhead images include the studies described in [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20] and [21]. Many of these approaches use some category of neural networks as part of their machine-learning frameworks.…”
Section: Literature Reviewmentioning
confidence: 99%
“…State-of-the-art approaches that demonstrate the use of labels derived from OSM for finding roads and/or buildings in overhead images include the studies described in [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20] and [21]. Many of these approaches use some category of neural networks as part of their machine-learning frameworks.…”
Section: Literature Reviewmentioning
confidence: 99%
“…为了追踪张量场中的流线, 从一 组种子点开始, 沿着流线生长的方向, 在迭代过程 中根据队列中的顶部元素生成流线, 同时将新种 子添加到队列中, 直到满足一定条件才停止. 空间布局建模工作可分为以建筑为基础的建 模 [28][29][30] 和以道路网络为基础的建模 [11,31]…”
Section: 生成栅格型的张量场 其中 unclassified
“…RoadTracer [4] and PolyMapper [18] propose an iterative tracing framework to extract road networks: they train a CNN to output the directionality of roads at each pixel, and employ an iterative search guided by the CNN to trace the road network. VecRoad extends the iterative tracing approach with a flexible step size and joint learning tasks [25], and Neural Turtle Graphics extends it with a sequential generative model [9]. Another recent technique, Sat2Graph, proposes a one-shot road extraction process where a CNN directly predicts the positions of road network vertices and edges [16].…”
Section: Related Workmentioning
confidence: 99%