HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image

• URL: http://arxiv.org/abs/2312.04543v1
• Date: Thu, 7 Dec 2023 18:58:09 GMT
• Title: HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image
• Authors: Tong Wu, Zhibing Li, Shuai Yang, Pan Zhang, Xinggang Pan, Jiaqi Wang, Dahua Lin, Ziwei Liu
• Abstract summary: We introduce HyperDreamer, a tool for creating 3D content from a single image. It is hyper-realistic enough for post-generation usage, as users cannot view, render and edit the resulting 3D content from a full range. We demonstrate the effectiveness of HyperDreamer in modeling region-aware materials with high-resolution textures and enabling user-friendly editing.
• Score: 94.11473240505534
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 3D content creation from a single image is a long-standing yet highly desirable task. Recent advances introduce 2D diffusion priors, yielding reasonable results. However, existing methods are not hyper-realistic enough for post-generation usage, as users cannot view, render and edit the resulting 3D content from a full range. To address these challenges, we introduce HyperDreamer with several key designs and appealing properties: 1) Viewable: 360 degree mesh modeling with high-resolution textures enables the creation of visually compelling 3D models from a full range of observation points. 2) Renderable: Fine-grained semantic segmentation and data-driven priors are incorporated as guidance to learn reasonable albedo, roughness, and specular properties of the materials, enabling semantic-aware arbitrary material estimation. 3) Editable: For a generated model or their own data, users can interactively select any region via a few clicks and efficiently edit the texture with text-based guidance. Extensive experiments demonstrate the effectiveness of HyperDreamer in modeling region-aware materials with high-resolution textures and enabling user-friendly editing. We believe that HyperDreamer holds promise for advancing 3D content creation and finding applications in various domains.

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