DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion

arXiv:2403.17237v1 Announce Type: new
Abstract: We present DreamPolisher, a novel Gaussian Splatting based method with geometric guidance, tailored to learn cross-view consistency and intricate detail from textual descriptions. While recent progress on text-to-3D generation methods have been promising, prevailing methods often fail to ensure view-consistency and textural richness. This problem becomes particularly noticeable for methods that work with text input alone. To address this, we propose a two-stage Gaussian Splatting based approach that enforces geometric consistency among views. Initially, a …

abstract arxiv cs.ai cs.cv cs.gr diffusion guidance learn novel progress quality text textual type via view