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CVPR2024Top-tier venue

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

Hanzhe Hu, Zhizhuo Zhou, Varun Jampani, Shubham Tulsiani

2024Year
24Top-tier citations

Abstract

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).

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