Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration

ArXi:2511.22533v2 Announce Type: replace Diffusion models have achieved impressive generative quality across modalities like 2D images, videos, and 3D shapes, but their inference remains computationally expensive due to the iterative denoising process. While recent caching-based methods effectively reuse redundant computations to speed up 2D and video generation, directly applying these techniques to 3D diffusion models can severely disrupt geometric consistency.