MoE3D: A Mixture-of-Experts Module for 3D Reconstruction
2026年1月8日
4 authors
摘要
MoE3D is a mixture-of-experts module designed to sharpen depth boundaries and mitigate flying-point artifacts (highlighted in red) of existing feed-forward 3D reconstruction models (left side). MoE3D predicts multiple candidate depth maps and fuses them via dynamic weighting (visualized by MoE weights on the right side). When integrated with a pre-trained 3D reconstruction backbone such as VGGT, it substantially enhances reconstruction quality with minimal additional computational overhead. Best viewed digitally.
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作者
Zichen WangAng CaoLiam J. WangJeong Joon Park