Main

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review version

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Events

first seen date

2024-08-15 03:45:28

expired found date

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created at

2024-08-15 03:45:28

updated at

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Server

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Open Graph

title

ReconFusion: 3D Reconstruction with Diffusion Priors

description

3D reconstruction methods such as Neural Radiance Fields (NeRFs) excel at rendering photorealistic novel views of complex scenes. However, recovering a high-quality NeRF typically requires tens to hun

site name

author

updated

2026-01-26 05:01:02

raw text

ReconFusion ReconFusion : 3D Reconstruction with Diffusion Priors Rundi Wu 1 * Ben Mildenhall 2 * Philipp Henzler 2 Keunhong Park 2 Ruiqi Gao 3 Daniel Watson 3 Pratul P. Srinivasan 2 Dor Verbin 2 Jonathan T. Barron 2 Ben Poole 3 Aleksander Holynski 2 * 1 Columbia University, &nbsp 2 Google Research, &nbsp 3 Google DeepMind     * equal contribution CVPR 2024 arXiv Data Abstract 3D reconstruction methods such as Neural Radiance Fields (NeRFs) excel at rendering photorealistic novel views of complex scenes. However, recovering a high-quality NeRF typically requires tens to...

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