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ReconPlusGen: Injecting Reconstruction Prior into Multi-view 3D Generation through Noise Inversion and Modulation

arxiv.org/abs/2609.11129

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Updated 4 h ago · first seen 11 Sept 2026

paper_01M294H1T8FMRF47S1EQ2G67PN

Published
11 Sept 2026
T1 · 4 h ago
arXiv
2609.11129
T1 · 4 h ago
Category
cs.CV
T1 · 4 h ago

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https://arxiv.org/abs/2609.11129currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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Qualitative results and an illustration of our core idea. Top left: reconstruction results on benchmark images. Top right: reconstruction results on real-world images. Bottom: illustration of reconstruction-guided noise initialization and modulation. Given multiple input images, we predict a point cloud in canonical space, deterministically inject the predicted geometry into the diffusion process through noise inversion, and modulate the resulting noise to preserve the generative flexibility required to complete unobserved regions and refine visible geometry.currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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newcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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2609.11129currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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Jiarui Liu, Heng Li, Weiyu Li, Keng Deng, Junyuan Deng, Zheng Zhongxing, Junyu Huang, Jiahao Chang, Xiaoguang Han, Ping TancurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.CVcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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https://arxiv.org/pdf/2609.11129currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.CVcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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11 Sept 2026currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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