MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation

Hanzhe Hu; Zhizhuo Zhou; Varun Jampani; Shubham Tulsiani

doi:10.1109/cvpr52733.2024.00926

CVPR2024顶会

MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation

Hanzhe Hu, Zhizhuo Zhou, Varun Jampani, Shubham Tulsiani

DOI 出版方

2024年份

24顶会引用

摘要

https://mvd-fusion.github.io/ Input View Synthesized Novel Views Input View Synthesized Novel Views Figure 1. Single-view 3D Inference. Given an input RGB image, MVD-Fusion allows synthesizing multi-view RGB-D images using a depth-guided attention mechanism for enforcing multi-view consistency. We visualize the input RGB image (left) and three synthesized novel views (with generated depth in inset).