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Texture Generation Using a Graph Generative Adversarial Network and Differentiable Rendering
Novel photo-realistic texture synthesis is an important task for generating novel scenes, including asset generation for 3D simulations. However, to...
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Non-manifold anisotropic mesh adaptation: application to fluid–structure interaction
A new strategy for high-fidelity unsteady mesh adaptation dealing with fluid–structure interaction (FSI) problems is presented using a partitioned...
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End-to-end slicing of RAN based on next-generation optical access network
Given their widespread use, optical access networks are suitable as a practical infrastructure for mobile networks and services. The diverse range of...
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3D solid model generation method based on a generative adversarial network
Three-dimensional (3D) solid model generation technology is the foundation to realize intelligently generated structural design, but this problem has...
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GPU Code Generation of Cardiac Electrophysiology Simulation with MLIR
We show the benefits of the novel MLIR compiler technology to the generation of code from a DSL, namely EasyML used in openCARP, a widely used...
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SORDI.ai: large-scale synthetic object recognition dataset generation for industries
Smart robots play a crucial role in assisting human workers within manufacturing units (like Industry 4.0) by perceiving and analyzing their...
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Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks
Predicting pediatric spinal deformity (PSD) from X-ray images collected on the patient’s initial visit is a challenging task. This work builds on our...
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Parallel algorithm design and optimization of geodynamic numerical simulation application on the Tianhe new-generation high-performance computer
CitcomCu is a numerical simulation software for mantle convection in the field of geodynamics, which can simulate thermo-chemical convection in a...
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Efficient Application of Hanging-Node Constraints for Matrix-Free High-Order FEM Computations on CPU and GPU
This contribution presents an efficient algorithm for resolving hanging-node constraints on the fly for high-order finite-element computations on...
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Manitalk: manipulable talking head generation from single image in the wild
Generating talking head videos through a face image and a piece of speech audio has gained widespread interest. Existing talking face synthesis...
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Mixed reality in surgical telepresence: a novel extended mean value cloning with automatic trimap generation and accurate alpha matting for visualization
The aim of this research is to propose an extended mean value cloning algorithm with automatic trimap generation and accurate alpha matting. This...
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Automatic generation of Labanotation based on human pose estimation in folk dance videos
Existing Labanotation generation methods have some drawbacks due to low efficiency and incapability to recognize existing videos, which can also be...
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Whole Heart Mesh Generation for Image-Based Computational Simulations by Learning Free-From Deformations
Image-based computer simulation of cardiac function can be used to probe the mechanisms of (patho)physiology, and guide diagnosis and personalized...
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Adaptive dewar** of severely warped camera-captured document images based on document map generation
Automated dewar** of camera-captured handwritten documents is a challenging research problem in Computer Vision and Pattern Recognition. Most...
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A large-scale empirical study of commit message generation: models, datasets and evaluation
Commit messages are natural language descriptions of code changes, which are important for program understanding and maintenance. However, writing...
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Multi-stage Conditional GAN Architectures for Person-Image Generation
Generating realistic human images has been of great value in recent times due to their varied application in Robotics, Computer Graphics, Movie...
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3D hand mesh reconstruction from a monocular RGB image
Most of the existing methods for 3D hand analysis based on RGB images mainly focus on estimating hand keypoints or poses, which cannot capture...
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MeshingNet: A New Mesh Generation Method Based on Deep Learning
We introduce a novel approach to automatic unstructured mesh generation using machine learning to predict an optimal finite element mesh for a...
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Service Function Chaining Design & Implementation Using Network Service Mesh in Kubernetes
Service Function Chaining (SFC) in a cloud-native environment is becoming essential as more users move towards clouds today. Cloud-native...
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Image Generation from Sketches and Text-Guided Attribute Edition
Every day new Artificial Intelligence models are created, and existing ones are modified or combined to extend their range of applications and tasks...