Authors
Zichen WangAng CaoLiam J. WangJeong Joon Park
Abstract
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.
Paper Information
- arXiv ID:
- 2601.05208v1
- Published:
- Categories:
- cs.CV