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GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks

https://doi.org/10.1109/tcad.2020.2995338
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_43openalex-snapshot
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot
Stacked Hourglass Networks for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-319-46487-9_43openalex-snapshot
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
inferredcites →https://doi.org/10.1109/asp-dac47756.2020.9045178openalex-snapshot
High-Definition Routing Congestion Prediction for Large-Scale FPGAs
inferredcites →https://doi.org/10.1109/cvpr.2015.7298758openalex-snapshot
Viewpoints and keypoints
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00917openalex-snapshot
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/tcad.2017.2748029openalex-snapshot
Subresolution Assist Feature Generation With Supervised Data Learning
inferredcites →https://doi.org/10.1109/test.2018.8624733openalex-snapshot
Machine Learning for Yield Learning and Optimization
inferredcites →https://doi.org/10.1117/12.2085460openalex-snapshot
Layout optimization with assist features placement by model based rule tables for 2x node random contact
inferredcites →https://doi.org/10.1117/12.798440openalex-snapshot
Model-based SRAF insertion through pixel-based mask optimization at 32nm and beyond
inferredcites →https://doi.org/10.1117/12.801310openalex-snapshot
Pixel-based SRAF implementation for 32nm lithography process
inferredcites →https://doi.org/10.1117/12.916731openalex-snapshot
Process optimization through model based SRAF printing prediction
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3195970.3196056openalex-snapshot
GAN-OPC
inferredcites →https://doi.org/10.1145/3316781.3317832openalex-snapshot
GAN-SRAF
inferredcites →https://doi.org/10.1145/3316781.3317852openalex-snapshot
LithoGAN
inferredcites →https://doi.org/10.1145/3316781.3317930openalex-snapshot
WellGAN
inferredcites →https://doi.org/10.1145/3372780.3375565openalex-snapshot
TEMPO: Fast Mask Topography Effect Modeling with Deep Learning
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.33079/jomm.19020401openalex-snapshot
Generative Learning in VLSI Design for Manufacturability: Current Status and Future Directions
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1406.2984openalex-snapshot
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot
Conditional Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1603.08029openalex-snapshot
Resnet in Resnet: Generalizing Residual Architectures
inferredcites →https://doi.org/10.48550/arxiv.1712.02950openalex-snapshot
CycleGAN, a Master of Steganography
inferredcites →https://doi.org/10.48550/arxiv.1712.05927openalex-snapshot
SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution
inferredcites →https://doi.org/10.48550/arxiv.2408.15374openalex-snapshot
CycleGAN with Better Cycles
inferredcites →https://doi.org/10.5555/3026877.3026899openalex-snapshot
TensorFlow: A system for large-scale machine learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4458411openalex-extracted
Fast Prediction of Jte Breakdown Performance in Sic Power Device Using Tcad Augmented Machine Learning
inferred← citeshttps://doi.org/10.1007/s10845-025-02604-6openalex-snapshot
Generative AI in industrial machine vision: a review
inferred← citeshttps://doi.org/10.1007/s11390-023-3002-7openalex-snapshot
SegNet-OPC: A Mask Optimization Framework in VLSI Design Flow Based on Semantic Segmentation Network
inferred← citeshttps://doi.org/10.1007/s11432-024-4155-7openalex-snapshot
Large circuit models: opportunities and challenges
inferred← citeshttps://doi.org/10.1016/j.mee.2023.111951openalex-snapshot
Generation of inverse assist features using generative adversarial networks
inferred← citeshttps://doi.org/10.1016/j.nima.2024.169102openalex-snapshot
Prediction of JTE breakdown performance in SiC PiN diode radiation detectors using TCAD augmented machine learning
inferred← citeshttps://doi.org/10.1109/cstic58779.2023.10219385openalex-snapshot
A Multi-Step Sraf to Improve Process Windows in Metal Layer
inferred← citeshttps://doi.org/10.1109/tcad.2021.3124762openalex-snapshot
MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper
inferred← citeshttps://doi.org/10.1109/tcad.2025.3625102openalex-snapshot
Layout Synthesis of RRAM Array With Minimized Proximity Effect
inferred← citeshttps://doi.org/10.1117/1.jmm.22.1.013201openalex-snapshot
Curvilinear mask optimization with refined generative adversarial nets
inferred← citeshttps://doi.org/10.1145/3394885.3431624openalex-snapshot
Deep Learning for Mask Synthesis and Verification
inferred← citeshttps://doi.org/10.1145/3400302.3415779openalex-snapshot
Re-examining VLSI manufacturing and yield through the lens of deep learning
inferred← citeshttps://doi.org/10.1145/3508352.3549388openalex-snapshot
Sub-Resolution Assist Feature Generation with Reinforcement Learning and Transfer Learning
inferred← citeshttps://doi.org/10.1145/3566097.3568362openalex-snapshot
Data-Driven Approaches for Process Simulation and Optical Proximity Correction
inferred← citeshttps://doi.org/10.1145/3569941openalex-snapshot
CmpCNN: CMP Modeling with Transfer Learning CNN Architecture
inferred← citeshttps://doi.org/10.1145/3721129openalex-snapshot
LithoExp: Explainable Two-stage CNN-based Lithographic Hotspot Detection with Layout Defect Localization
inferred← citeshttps://doi.org/10.1364/oe.538099openalex-snapshot
3D OPC method for GLV parallel scanning lithography microstructure topography control based on SinCUT
inferred← citeshttps://doi.org/10.23919/date64628.2025.10993108openalex-snapshot
LLM-SRAF: Sub-Resolution Assist Feature Generation Using Large Language Model
inferred← citeshttps://doi.org/10.3390/mi16111301openalex-snapshot
A Two-Stage Unet Framework for Sub-Resolution Assist Feature Prediction
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