Objective Aiming at the problems of content distortion and insufficient stylization intensity caused by the lack of effective style representation in existing photorealistic style transfer methods a photorealistic style transfer method named dual modulation photorealistic style transfer DMPST is proposed. Methods To efficiently capture the style information DMPST utilized the complementarity of the shallow and deep style information to progressively fuse stylistic features at multiple scales. Then through a dual-modulation strategy the fused style features were transformed into two sets of style signals which were used for feature modulation and filter modulation of content features respectively so as to achieve global and local stylization guidance. In addition to make up for the loss of content information due to the increase in stylization intensity an adaptive spatial interpolation module was designed to repair multi-scale content details during the decoding stage. Results Qualitative and quantitative experiments verified that DMPST was able to generate results with well-preserved content information and a high degree of stylization. On the DPST dataset the Content loss Style loss SSIM PSNR and LPIPS indicators achieved 0. 595 0. 405 0. 725 16. 894 and 0. 758 respectively. Conclusion The proposed method achieves a highly stylized transfer effect while maintaining the content details of the source image and it has reference value for subsequent research on improving the intensity of photorealistic stylization.