Matheus Gadelha | DeepAI

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∙ 12/13/2022

Accidental Turntables: Learning 3D Pose by Watching Objects Turn

We propose a technique for learning single-view 3D object pose estimatio...

0 Zezhou Cheng, et al. ∙

∙ 07/01/2022

Leveraging Monocular Disparity Estimation for Single-View Reconstruction

We present a fine-tuning method to improve the appearance of 3D geometri...

0 Marissa Ramirez de Chanlatte, et al. ∙

∙ 06/15/2022

PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos

We present PlanarRecon – a novel framework for globally coherent detecti...

14 Yiming Xie, et al. ∙

∙ 05/27/2022

ANISE: Assembly-based Neural Implicit Surface rEconstruction

We present ANISE, a method that reconstructs a 3D shape from partial obs...

0 Dmitry Petrov, et al. ∙

∙ 12/27/2021

SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds

We present SurFit, a simple approach for label efficient learning of 3D ...

14 Gopal Sharma, et al. ∙

∙ 04/08/2020

Deep Manifold Prior

We present a prior for manifold structured data, such as surfaces of 3D ...

15 Matheus Gadelha, et al. ∙

∙ 04/06/2020

Learning Generative Models of Shape Handles

We present a generative model to synthesize 3D shapes as sets of handles...

7 Matheus Gadelha, et al. ∙

∙ 03/30/2020

Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions

The problems of shape classification and part segmentation from 3D point...

2 Matheus Gadelha, et al. ∙

∙ 06/11/2019

Inferring 3D Shapes from Image Collections using Adversarial Networks

We investigate the problem of learning a probabilistic distribution over...

7 Matheus Gadelha, et al. ∙

∙ 04/16/2019

A Bayesian Perspective on the Deep Image Prior

The deep image prior was recently introduced as a prior for natural imag...

22 Zezhou Cheng, et al. ∙

∙ 09/07/2018

A Deeper Look at 3D Shape Classifiers

We investigate the role of representations and architectures for classif...

0 Jong-Chyi Su, et al. ∙

∙ 07/10/2018

Multiresolution Tree Networks for 3D Point Cloud Processing

We present multiresolution tree-structured networks to process point clo...

2 Matheus Gadelha, et al. ∙

∙ 07/20/2017

3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks

We propose a method for reconstructing 3D shapes from 2D sketches in the...

0 Zhaoliang Lun, et al. ∙

∙ 07/19/2017

Shape Generation using Spatially Partitioned Point Clouds

We propose a method to generate 3D shapes using point clouds. Given a po...

0 Matheus Gadelha, et al. ∙

∙ 12/18/2016

3D Shape Induction from 2D Views of Multiple Objects

In this paper we investigate the problem of inducing a distribution over...

0 Matheus Gadelha, et al. ∙

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