Advancements in single-image 3D modeling: a deepmesh fusion approach

DeepMesh is an innovative image-to-3D reconstruction framework that significantly enhances model reconstruction quality and detail accuracy, especially when processing single images through the application of multi-light point technology. This study introduces an advanced light source simulation method that simulates multiple light sources illuminating the object, enhancing the capture of surface details and thus achieving higher visual fidelity and geometric accuracy in the generated 3D models. DeepMesh combines Transformer-based sparse view reconstruction technology with advanced mesh processing algorithms, effectively extracting and reconstructing 3D data from complex lighting environments. Experimental results on standard datasets demonstrate that DeepMesh outperforms existing technologies in terms of Structural Similarity (SSIM) and Perceptual Image Quality Index (LPIPS), proving its potential in practical applications. Moreover, the framework's multi-light point processing technique provides a new direction for future research in 3D reconstruction under complex lighting conditions.