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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

artistic images

biblio

Visible to the public Development of Real-Time Style Transfer for Video System

Submitted by grigby1 on Fri, 12/11/2020 - 2:52pm
  • Scalability
  • optical flow
  • optical losses
  • perceptual loss
  • pubcrawl
  • real-time style transfer
  • real-time systems
  • relatively time-consuming
  • resilience
  • Resiliency
  • neural style transfer
  • Streaming media
  • style reconstruction loss
  • style transfer
  • video sequences
  • video signal processing
  • video style transfer
  • video stylization
  • video system
  • feed-forward CNN approach
  • artistic images
  • Artistic Style
  • computer machine
  • convolutional neural nets
  • convolutional neural networks
  • deep neural networks
  • defined time loss function
  • end-to-end system
  • fast style transformation
  • artificial system
  • feed-forward network
  • feedforward neural nets
  • high perceptual quality
  • Image reconstruction
  • Image resolution
  • Metrics
  • neural network
  • Neural networks
biblio

Visible to the public Image Style Transfer with Multi-target Loss for loT Applications

Submitted by aekwall on Mon, 12/07/2020 - 12:10pm
  • fundamental problem
  • visualization
  • pre-trained deep convolutional neural network VGG19
  • output image
  • neural nets
  • multitarget loss
  • loss function
  • learning (artificial intelligence)
  • input style image
  • input images
  • Information filters
  • image style transfer
  • Image reconstruction
  • gradient methods
  • neural style transfer
  • Filter banks
  • feature map
  • feature extraction
  • context image
  • content style
  • computer vision
  • artistic images
  • arbitrary images
  • pubcrawl
  • Predictive Metrics
  • Resiliency
  • Scalability

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