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We propose a deformable sampling learning strategy (DefLearn) guided by matching uncertainty to determine the hypothesis set from two perspectives.
Aug 22, 2024 · We propose a deformable sampling learning strategy (DefLearn) guided by matching uncertainty to determine the hypothesis set from two perspectives.
Dec 26, 2023 · This paper introduces a learnable Deformable Hypothesis Sampler (DeformSampler) to address the challenging issue of noisy depth estimation for accurate ...
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This paper introduces a learnable Deformable Hypothesis Sampler (DeformSampler) to address the challenging issue of noisy depth estimation for accurate ...
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Sep 28, 2024 · Learning deformable hypothesis sampling for patchmatch multi-view stereo in the wild. Inf. Fusion 113: 102646 (2025); 2024. [c3]. view.
Learning deformable hypothesis sampling for patchmatch multi-view stereo in the wild. Y Guo, X Zheng, H Li, L Huan, J Ma, J Gong. Information Fusion 113 ...
Learning Deformable Hypothesis Sampling for Accurate PatchMatch - [DS-PMNet] ... Adaptive Region Aggregation for Multi-View Stereo Matching Using Deformable ...
Feb 24, 2024 · Technical paper AAAI 2024 • February 24, 2024 • Vancouver , Canada Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo
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Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo ... We demonstrate this new method in the wild on Internet photo collections.
Official implementation of 'DS-PMNet: Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo.' This paper has been accepted by ...
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