Kavli Affiliate: Cheng Peng
| First 5 Authors: Jingxiang Sun, Cheng Peng, Ruizhi Shao, Yuan-Chen Guo, Xiaochen Zhao
| Summary:
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 possibilities
in 3D content creation.
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