Layout Design
17 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Layout Design
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
preddy5/A-Deep-Generative-Model-for-Graph-Layout
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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
idrl-lab/supervised_layout_benchmark
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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
realcrane/iPLAN-Interactive-and-Procedural-Layout-Planning
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CVPR 2022
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
yizhiwang96/textlogolayout
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CVPR 2022
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.
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms
For irregularly sparse and fine-grained GNN workloads, such solutions miss the opportunity to jointly schedule/optimize the computation and communication operations for high-performance delivery.
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.
