CVPR2025
DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation
Wang Zhao, Yan-Pei Cao, Jiale Xu, Yuejiang Dong, Ying Shan
Abstract
Figure 1. Given condition images, DI-PCG can accurately estimate suitable parameters of procedural generators, resulting high fidelity 3D asset creation. Textures and materials are randomly assigned by the procedural generators for visualizations.