Single-view three-dimensional reconstruction method based on cyclic diffusion model

The invention discloses a single-view three-dimensional reconstruction method based on a cyclic diffusion model, and the method comprises the following steps: carrying out the extraction and fusion to obtain a fusion feature vector, and predicting the mean value and variance of an image condition fe...

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Bibliographic Details
Main Authors YE DEWANG, XU YEWEN, ZHOU YUEXIA, ZHOU YAN, LI WENJUN, LIU XIANGYU
Format Patent
LanguageChinese
English
Published 08.03.2024
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Summary:The invention discloses a single-view three-dimensional reconstruction method based on a cyclic diffusion model, and the method comprises the following steps: carrying out the extraction and fusion to obtain a fusion feature vector, and predicting the mean value and variance of an image condition feature vector; sampling the mean value and variance of the predicted image condition feature vectors to obtain the image condition feature vectors; carrying out farthest point sampling to obtain a three-dimensional model point cloud, and training a denoising network in the diffusion model; the guiding capability of the image condition feature vector to the denoising network is improved through cyclic denoising; inputting a single view to guide a de-noising network to de-noise the pure noise point cloud obeying standard Gaussian distribution step by step, and finally obtaining a three-dimensional model point cloud consistent with the geometric structure of the single view; the single-view three-dimensional reconstruc
Bibliography:Application Number: CN202311650864