Neural style transfer: a paradigm shift for image-based artistic rendering?
Amir SemmoTobias IsenbergJürgen DöllnerPublished in: NPAR@Expressive (2017)
Keyphrases
- paradigm shift
- realistic rendering
- computer graphics
- image based modeling
- painterly rendering
- photorealistic
- d scene
- view dependent
- network architecture
- neural network
- computer vision
- human learning
- image based rendering
- domain driven data mining
- transfer learning
- image synthesis
- social intelligence
- real time
- domain driven
- high quality
- human computer interaction
- joint segmentation
- knowledge transfer
- texture mapping
- high fidelity
- bio inspired
- future development
- artificial intelligence
- neural model
- spike trains
- real time rendering
- visual hull
- associative memory