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CVPR2025Top-tier venue

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes

Ruijie Lu, Yixin Chen, Junfeng Ni, Baoxiong Jia, Yu Liu, Diwen Wan, Gang Zeng, Siyuan Huang

2025Year
9Top-tier citations

Abstract

Left 180° Down 5° Left 180° Down 5° Left 180° Down 5° Right 145° Up 10° Right 80° Left 50° Right 100° Up 5° Right 100° Up 5° Right 100° Up 5°O bjaverse SUNRGB-D 3D-FRONT NVS Cross View Matching Ours Zero-1-to-3 Ground Truth Figure 1 . Novel view synthesis and cross-view image matching. The first row shows that MOVIS generalizes to different datasets on novel view synthesis (NVS). We also show visualizations of cross-view consistency compared with Zero-1-to-3 [8] and ground truth by applying image-matching. MOVIS can match a significantly greater number of points, closely aligned with the ground truth.

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