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NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo [article]

Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou
<span title="2021-10-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In addition, we show that the guided optimization scheme does not sacrifice the original synthesis capability of neural radiance fields, improving the rendering quality on both seen and novel views.  ...  In this work, we present a new multi-view depth estimation method that utilizes both conventional reconstruction and learning-based priors over the recently proposed neural radiance fields (NeRF).  ...  In this paper, we present a new neural network based optimization framework for multi-view depth estimation based on the recently proposed neural radiance fields [33] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.01129v3">arXiv:2109.01129v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zgtoq55zerbs5gwimqr5yhr2wi">fatcat:zgtoq55zerbs5gwimqr5yhr2wi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211007094201/https://arxiv.org/pdf/2109.01129v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/14/93/149343c70c8c506c2e91112746549eea4300817b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.01129v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Dense Depth Priors for Neural Radiance Fields from Sparse Input Views [article]

Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner
<span title="2022-04-07">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Neural radiance fields (NeRF) encode a scene into a neural representation that enables photo-realistic rendering of novel views.  ...  Our method enables data-efficient novel view synthesis on challenging indoor scenes, using as few as 18 images for an entire scene.  ...  We thank Angela Dai for the video voice-over.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.03288v2">arXiv:2112.03288v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zq5tdwghyfhhfhzrcbckgvygs4">fatcat:zq5tdwghyfhhfhzrcbckgvygs4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220517180712/https://arxiv.org/pdf/2112.03288v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/26/b1/26b1c7ba30879b54c42eef91ee58fa906d7e26cb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.03288v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>