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CVPR2024Top-tier venue

EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion

Zehuan Huang, Hao Wen, Junting Dong, Yaohui Wang, Yangguang Li, Xinyuan Chen, Yan-Pei Cao, Ding Liang, Yu Qiao, Bo Dai, Lu Sheng

2024Year
39Top-tier citations

Abstract

Reconstructed meshes Figure 1. EpiDiff is able to efficiently generate multi-view consistent and high-quality images from a single view input. Instead of limited to fixed viewpoints, EpiDiff can generate relatively arbitrary multi-views. EpiDiff is lightweight and only takes 12 seconds to generate 16 multi-view images. The generated multiview images can be used to recover 3D shapes by neural reconstruction methods [17, 57].

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