Dynamic 3D Gaussian Reconstruction with Specular Reflection

3D Gaussian Splatting (3DGS) has shown remarkable potential in novel view synthesis. However, it still encounters significant challenges in reconstructing dynamic scenes, particularly when dealing with reflective surfaces. To address this issue, we propose a novel 3DGS-based method for dynamic scene reconstruction with explicit reflection modeling. Our approach integrates deferred shading with a dual-environment map that combines static and dynamic components, enabling effective modeling of specular reflections. This allows our method to capture both steady and temporally varying lighting, resulting in more realistic renderings. We evaluate the proposed method on the benchmark dynamic reflection dataset, NERF-DS, and compare it with state-of-the-art approaches. Experimental results show that our method achieves superior or comparable performance in terms of PSNR, SSIM, and LPIPS metrics compared to competing approaches.