DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model

We introduce DreamCraft3D++, an extension of DreamCraft3D that enables efficient high-quality generation of complex 3D assets. DreamCraft3D++ inherits the multi-stage generation process of DreamCraft3D, but replaces the time-consuming geometry sculpting optimization with a feed-forward multi-plane based reconstruction model, speeding up the process by 1000x. For texture refinement, we propose a training-free IP-Adapter module that is conditioned on the enhanced multi-view images to enhance texture and geometry consistency, providing a 4x faster alternative to DreamCraft3D's DreamBooth fine-tuning. Experiments on diverse datasets demonstrate DreamCraft3D++'s ability to generate creative 3D assets with intricate geometry and realistic 360° textures, outperforming state-of-the-art image-to-3D methods in quality and speed. The full implementation will be open-sourced to enable new possibilities in 3D content creation.

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Publication Details

Journal
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
2025-01-01
DOI
https://doi.org/10.1109/tpami.2025.3598772
Citations
1
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
3.54
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article

DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model

Ying Guo, Jie Zhang, Yangguang Li, Yebin Liu et al.
1 citations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Graphics and Visualization Techniques
3.54
article

DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model

Ying Guo, Jie Zhang, Yangguang Li, Yebin Liu, Cheng Peng, Xiaochen Zhao, Ruizhi Shao, Yan‐Pei Cao, Jingxiang Sun
article en
1 citations

Abstract

We introduce DreamCraft3D++, an extension of DreamCraft3D that enables efficient high-quality generation of complex 3D assets. DreamCraft3D++ inherits the multi-stage generation process of DreamCraft3D, but replaces the time-consuming geometry sculpting optimization with a feed-forward multi-plane based reconstruction model, speeding up the process by 1000x. For texture refinement, we propose a training-free IP-Adapter module that is conditioned on the enhanced multi-view images to enhance texture and geometry consistency, providing a 4x faster alternative to DreamCraft3D's DreamBooth fine-tuning. Experiments on diverse datasets demonstrate DreamCraft3D++'s ability to generate creative 3D assets with intricate geometry and realistic 360° textures, outperforming state-of-the-art image-to-3D methods in quality and speed. The full implementation will be open-sourced to enable new possibilities in 3D content creation.

IEEE Transactions on Pattern Analysis and Machine IntelligenceVol. PP
Zhejiang University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Computer Graphics and Visualization Techniques
3.54
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DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model — Ying Guo, Jie Zhang, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence (2025) | TGRS Research Map | TGRS