Fig. 1. Image animation stylization framework

Fig. 2. Surface representation

Fig. 3. Structure representation

Fig. 4. Texture representation

Fig. 5. Main structure of the generative network

Fig. 6. Each module structure of the generative network. (a) Conv_Block; (b) DSConv; (c) IRB; (d) Down-Conv; (e) Up-Conv

Fig. 7. Discriminant network structure

Fig. 8. Convergence of loss functions

Fig. 9. Comparison of subjective effects of image animation stylization

Fig. 10. Experimental results of three animation styles and comparison between proposed method and CartoonGAN

Fig. 11. Results of proposed method in different scenarios

Fig. 12. Ablation study