DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model
Jingxiang Sun, Cheng Peng, Ruizhi Shao, Yuan-Chen Guo, Xiaochen Zhao,, Yangguang Li, Yanpei Cao, Bo Zhang, Yebin Liu

TL;DR
DreamCraft3D++ significantly accelerates high-quality 3D asset generation by replacing slow optimization with a multi-plane reconstruction model and a training-free texture refinement module, outperforming existing methods in speed and quality.
Contribution
It introduces a novel multi-plane reconstruction model and a training-free texture refinement module, enabling 1000x faster and higher-quality 3D asset generation compared to prior approaches.
Findings
Speeds up 3D generation by 1000x
Achieves higher quality 3D assets with intricate geometry
Outperforms state-of-the-art in quality and speed
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{\deg} textures, outperforming state-of-the-art image-to-3D methods in quality and speed. The full implementation will be open-sourced to enable new…
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · 3D Shape Modeling and Analysis · Image Processing and 3D Reconstruction
