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arXiv · 2404.10441

1st Place Solution for ICCV 2023 OmniObject3D Challenge: Sparse-View Reconstruction

Hang Du·Yaping Xue·Weidong Dai·Xuejun Yan·Jingjing Wang
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Abstract

In this report, we present the 1st place solution for ICCV 2023 OmniObject3D Challenge: Sparse-View Reconstruction. The challenge aims to evaluate approaches for novel view synthesis and surface reconstruction using only a few posed images of each object. We utilize Pixel-NeRF as the basic model, and apply depth supervision as well as coarse-to-fine positional encoding. The experiments demonstrate the effectiveness of our approach in improving sparse-view reconstruction quality. We ranked first in the final test with a PSNR of 25.44614.

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Hang Du, Yaping Xue, Weidong Dai, Xuejun Yan, Jingjing Wang. 2024-04-16. 1st Place Solution for ICCV 2023 OmniObject3D Challenge: Sparse-View Reconstruction. https://arxiv.org/abs/2404.10441

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