Kui Qin, Xinguo Hou, Feng Zhou, Zhengjun Yan, Leping Bu. fire-GAN: Flame Image Generation Algorithm Based on Generative Adversarial Network[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210008
- Laser & Optoelectronics Progress
- Vol. 60, Issue 12, 1210008 (2023)
Fig. 1. Example of RGB-uv histogram
Fig. 2. Difference between HistoGAN and styleGAN2
Fig. 3. Example of flame image segmentation using Equ. (5)
Fig. 4. Example of generating flame image using HistoGAN
Fig. 5. Comparison of flame effect generated by two parts of datasets
Fig. 6. Comparison of flame generation effects under different conditions of roundness loss function
Fig. 7. Comparison of flame image generated by fire-GAN and MixNMatch
Fig. 8. Comparison of image effects generated by GN, APA, and fire-GAN
Fig. 9. Relationship between FID of image generated by GN, APA, and fire-GAN and training times
Fig. 10. Comparison of flame images generated by different networks
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Table 1. Roundness of flames and disturbances
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Table 2. Quantitative evaluation of flame image generated by two parts of datasets
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Table 3. Comparison of average values of flame roundness in images generated under different conditions of roundness loss function
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Table 4. Comparison of R, G, and B mean values of images generated by fire-GAN and MixNMatch
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Table 5. Quantitative evaluation of different networks
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