HiFi-123: Towards High-fidelity One Image to 3D Content Generation

arXiv:2310.06744v2 Announce Type: replace
Abstract: Recent advances in diffusion models have enabled 3D generation from a single image. However, current methods often produce suboptimal results for novel views, with blurred textures and deviations from the reference image, limiting their practical applications. In this paper, we introduce HiFi-123, a method designed for high-fidelity and multi-view consistent 3D generation. Our contributions are twofold: First, we propose a Reference-Guided Novel View Enhancement (RGNV) technique that significantly improves the fidelity of diffusion-based zero-shot novel …

abstract advances applications arxiv content generation cs.cv current diffusion diffusion models fidelity however image novel paper practical reference results type