In this episode, we discuss Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle by Zhenyu Tang, Junwu Zhang, Xinhua Cheng, Wangbo Yu, Chaoran Feng, Yatian Pang, Bin Lin, Li Yuan. Recent 3D large reconstruction models often generate low-quality and inconsistent multi-view images, which harm the final 3D output. To resolve this, the proposed Cycle3D framework integrates a 2D diffusion-based generation module and a 3D reconstruction module to iteratively enhance texture quality and multi-view consistency. Experiments show that Cycle3D outperforms state-of-the-art methods in creating high-quality and consistent 3D content.
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