DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer.
Dan RutaGemma Canet TarresAndrew GilbertEli ShechtmanNicholas I. KolkinJohn P. CollomossePublished in: CoRR (2023)
Keyphrases
- network architecture
- neural network
- artificial neural
- transfer learning
- nonlinear predictive control
- neural information processing
- neural model
- diffusion process
- learning rules
- deformable models
- artificial neural networks
- hierarchical data
- information technology
- associative memory
- anisotropic diffusion
- knowledge transfer
- cross domain
- bio inspired
- diffusion processes
- mobile robot
- machine learning
- genetic algorithm
- neural fuzzy
- authorship attribution
- neural architecture
- object detection
- medical images