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Deep NRSfM++: Towards 3D Reconstruction in the Wild
The recovery of 3D shape and pose solely from 2D landmarks stemming from...
01/27/2020 ∙ by Chaoyang Wang, et al. ∙
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Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
In this paper, we address the problem of 3D object mesh reconstruction f...
03/20/2019 ∙ by Chen-Hsuan Lin, et al. ∙
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ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
We address the problem of finding realistic geometric corrections to a f...
03/05/2018 ∙ by Chen-Hsuan Lin, et al. ∙
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Semantic Photometric Bundle Adjustment on Natural Sequences
The problem of obtaining dense reconstruction of an object in a natural ...
11/30/2017 ∙ by Rui Zhu, et al. ∙
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Object-Centric Photometric Bundle Adjustment with Deep Shape Prior
Reconstructing 3D shapes from a sequence of images has long been a probl...
11/04/2017 ∙ by Rui Zhu, et al. ∙
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Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
Conventional methods of 3D object generative modeling learn volumetric p...
06/21/2017 ∙ by Chen-Hsuan Lin, et al. ∙
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Deep-LK for Efficient Adaptive Object Tracking
In this paper we present a new approach for efficient regression based o...
05/19/2017 ∙ by Chaoyang Wang, et al. ∙
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Inverse Compositional Spatial Transformer Networks
In this paper, we establish a theoretical connection between the classic...
12/12/2016 ∙ by Chen-Hsuan Lin, et al. ∙
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The Conditional Lucas & Kanade Algorithm
The Lucas & Kanade (LK) algorithm is the method of choice for efficient ...
03/29/2016 ∙ by Chen-Hsuan Lin, et al. ∙
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