Virtual scene tunnel firework generation method and system and storage medium
The invention discloses a virtual scene tunnel firework generation method and system and a storage medium, and belongs to the technical field of deep learning. Tunnel smoke and fire are generated by using a variational auto-encoder, an attention mechanism and a diffusion model according to problems...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The invention discloses a virtual scene tunnel firework generation method and system and a storage medium, and belongs to the technical field of deep learning. Tunnel smoke and fire are generated by using a variational auto-encoder, an attention mechanism and a diffusion model according to problems existing in an actual application scene, firstly, an encoder of the variational auto-encoder is used for compressing an input image to a potential space to obtain an input potential variable, and then Gaussian diffusion is performed on the potential variable to obtain a noise-added result; then denoising is carried out through a deep learning network model embedded with an attention module, finally, potential vectors are restored to an image space through a decoder of an auto-encoder, construction of a tunnel smoke and fire image generation network is completed, and a final tunnel smoke and fire generation result is obtained. According to the method provided by the invention, when tunnel smoke and fire generation i |
---|