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BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting
March 19, 2024, 4:49 a.m. | Lingzhe Zhao, Peng Wang, Peidong Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: While neural rendering has demonstrated impressive capabilities in 3D scene reconstruction and novel view synthesis, it heavily relies on high-quality sharp images and accurate camera poses. Numerous approaches have been proposed to train Neural Radiance Fields (NeRF) with motion-blurred images, commonly encountered in real-world scenarios such as low-light or long-exposure conditions. However, the implicit representation of NeRF struggles to accurately recover intricate details from severely motion-blurred images and cannot achieve real-time rendering. In contrast, recent …
abstract arxiv capabilities cs.cv fields images light low nerf neural radiance fields neural rendering novel quality rendering synthesis train type view world
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
2 days, 5 hours ago |
arxiv.org
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