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Latent transformations neural network for object view synthesis
Sangpil Kim
, Nick Winovich
, Hyung Gun Chi
, Guang Lin
, Karthik Ramani
*
*
Corresponding author for this work
Research output
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Contribution to journal
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Article
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peer-review
3
Citations (Scopus)
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Keyphrases
Neural Network
100%
View Synthesis
100%
Object View
100%
Time Application
25%
Training Process
25%
State-of-the-art Techniques
25%
Proposed Methodology
25%
Lightweight Structures
25%
Depth Image
25%
Synthesis Methods
25%
Application System
25%
Decoder
25%
Embedded Systems
25%
Structural Similarity Index
25%
Network Components
25%
Non-rigid Object
25%
Rigid Object
25%
Synthetic Faces
25%
Dedicated Network
25%
Latent Space
25%
Real Faces
25%
Adversarial Training
25%
Fully Convolutional
25%
Diverse Tasks
25%
Multi-view Synthesis
25%
Consistency Loss
25%
Conditioning Information
25%
Space Transformation
25%
L1 Metric
25%
Conditional Transformation
25%
Latent Space Mapping
25%
Transformation Units
25%
Generative Neural Networks
25%
Computer Science
Neural Network
100%
Real-Time Application
33%
Training Process
33%
Embedded Systems
33%
Structural Similarity
33%
Application System
33%
Generalizability
33%
Network Component
33%
Adversarial Machine Learning
33%
Discriminator
33%