DyNCA
Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata
Current Dynamic Texture Synthesis (DyTS) models in the literature can synthesize realistic videos. However, these methods require a slow iterative optimization process to synthesize a single fixed-size short video, and they do not offer any post-training control over the synthesis process. We propose Dynamic Neural Cellular Automata (DyNCA), a framework for real-time and controllable dynamic texture synthesis.
active
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entered showcase: 2023-03-21
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entry updated: 2024-04-14
This project has not yet been evaluated by the C4DT Factory team.
We will be happy to evaluate it upon request.
Framework
MIT