Chen-Hsuan Lin

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Carnegie Mellon University

SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images

Dense 3D object reconstruction from a single image has recently witnesse...
10/20/2020 ∙ by Chen-Hsuan Lin, et al. ∙ 0 ∙ share

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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. ∙ 10 ∙ share

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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. ∙ 6 ∙ share

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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. ∙ 0 ∙ share

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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. ∙ 0 ∙ share

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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. ∙ 0 ∙ share

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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. ∙ 0 ∙ share

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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. ∙ 0 ∙ share

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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. ∙ 0 ∙ share

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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. ∙ 0 ∙ share

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Chen-Hsuan Lin

Featured Co-authors

Simon Lucey

Eli Shechtman

Ersin Yumer

Rui Zhu

Oliver Wang

Vladimir G. Kim

Matthew Fisher

Chaoyang Wang

Chen Kong

Ziyan Wang

Bryan C. Russell

SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images

Deep NRSfM++: Towards 3D Reconstruction in the Wild

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

Semantic Photometric Bundle Adjustment on Natural Sequences

Object-Centric Photometric Bundle Adjustment with Deep Shape Prior

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction

Deep-LK for Efficient Adaptive Object Tracking

Inverse Compositional Spatial Transformer Networks

The Conditional Lucas & Kanade Algorithm