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Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates

Published in The Thirty-Ninth Annual Conference on Neural Information Processing Systems(NeurIPS), Spotlight, 2025

FCM is a training-free, likelihood-guided diffusion update that auto-tunes step sizes via forward-mode autodiff and curvature probes, enabling fast, stable 3D point-cloud reconstruction from single/multi-view inputs—no retraining.

Recommended citation: Shin, Seunghyeok; Kim, Dabin; Lim, Hongki. (2025). Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates. Proceedings of the Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS 2025).
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Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Published: February 01, 2014

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Published: March 01, 2014

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Undergraduate course, University 1, Department, 2014

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Workshop, University 1, Department, 2015

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