3D Animation Generation of Northern Song Landscape painting Based on Multilayer Segmentation
Open Access
- 22 December 2023
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 230-234
Abstract
The trend of research on the 3D animation of static art works is increasing, and the 3D animation of traditional Chinese art works has gradually become a hot topic in this type of research. Through image segmentation, image repair and animation synthesis technology, this study has carried out artistic 3D animation generation of landscape painting in the Northern Song Dynasty. Firstly, three image segmentation methods, BMD&OTSU, SAM and Fast SAM, are used to segment multilayered painting, the foreground and background of landscape; Secondly, the segmentation results are used as masks to fill the background and extract the foreground of the original image; Finally, render and animate the filled landscape painting. This study has found a technology roadmap that can realize the 3D animation of static painting, and has provided a way of thinking for the remodeling of traditional Chinese art works.Keywords
This publication has 6 references indexed in Scilit:
- Computer-Aided Graphic Design for Virtual Reality-Oriented 3D Animation ScenesComputer-Aided Design and Applications, 2021
- Holistic 3D Scene Understanding from a Single Image with Implicit Representation2021
- Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging2021
- Learning to Recover 3D Scene Shape from a Single Image2021
- SynSin: End-to-End View Synthesis From a Single Image2020
- Free-Form Image Inpainting With Gated Convolution2019