10 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Training a Fully Convolutional Neural Network to Route Integrated Circuits
After 15 fully convolutional stages followed by a score comparator, the network outputs 8 layout layers (corresponding to 4 route layers, 3 via layers and an identity-mapped pin layer) which are then decoded to obtain the routed layouts.
A Deep Generative Model for Graph Layout
To provide users with an intuitive way to navigate the layout design space, we present a technique to systematically visualize a graph in diverse layouts using deep generative models.
GRIDS: Interactive Layout Design with Integer Programming
Grid layouts are used by designers to spatially organise user interfaces when sketching and wireframing.
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout
Thermal issue is of great importance during layout design of heat source components in systems engineering, especially for high functional-density products.
Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data
Bicycle-sharing systems (BSS) have become a daily reality for many citizens of larger, wealthier cities in developed regions.
iPLAN: Interactive and Procedural Layout Planning
However, the capability of involving humans into the loop has been largely ignored in existing methods which are mostly end-to-end approaches.
Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
To train and evaluate our approach, we construct a dataset named as TextLogo3K, consisting of about 3, 500 text logo images and their pixel-level annotations.
ReCo: A Dataset for Residential Community Layout Planning
In order to address the issues and advance a benchmark dataset for various intelligent spatial design and analysis applications in the development of smart city, we introduce Residential Community Layout Planning (ReCo) Dataset, which is the first and largest open-source vector dataset related to real-world community to date.
Design Process is a Reinforcement Learning Problem
While reinforcement learning has been used widely in research during the past few years, it found fewer real-world applications than supervised learning due to some weaknesses that the RL algorithms suffer from, such as performance degradation in transitioning from the simulator to the real world.
Text2Poster: Laying out Stylized Texts on Retrieved Images
Poster generation is a significant task for a wide range of applications, which is often time-consuming and requires lots of manual editing and artistic experience.