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1711.07566
Cited By

Neural 3D Mesh Renderer

Neural 3D Mesh Renderer

20 November 2017

Yoshitaka Ushiku

ArXiv (abs)PDF HTML

Papers citing "Neural 3D Mesh Renderer"

26 / 626 papers shown

DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals

DDSL: Deep Differentiable Simplex Layer for Learning Geometric SignalsIEEE International Conference on Computer Vision (ICCV), 2019

Dana Lynn Ona Lansigan

Matthias Nießner

260

12

0

30 Jan 2019

A Novel Self-Intersection Penalty Term for Statistical Body Shape Models
and Its Applications in 3D Pose Estimation

A Novel Self-Intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation

95

4

0

24 Jan 2019

Learning single-image 3D reconstruction by generative modelling of
shape, pose and shading

Learning single-image 3D reconstruction by generative modelling of shape, pose and shading

208

131

0

19 Jan 2019

Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View
Mesh Reconstruction

Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction

Hao Li

300

97

0

17 Jan 2019

Neural Inverse Rendering of an Indoor Scene from a Single Image

Neural Inverse Rendering of an Indoor Scene from a Single Image

Soumyadip Sengupta

430

168

0

08 Jan 2019

Convolutional Neural Networks on non-uniform geometrical signals using
Euclidean spectral transformation

Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation

Matthias Nießner

112

17

0

07 Jan 2019

ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape

ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape

Fabian Manhardt

Adrien Gaidon

291

291

0

06 Dec 2018

Incremental Scene Synthesis

Incremental Scene Synthesis

Benjamin Planche

Ziyan Wu

Srikrishna Karanam

147

7

0

29 Nov 2018

Single-view Object Shape Reconstruction Using Deep Shape Prior and
Silhouette

Single-view Object Shape Reconstruction Using Deep Shape Prior and Silhouette

171

5

0

29 Nov 2018

CAPNet: Continuous Approximation Projection For 3D Point Cloud
Reconstruction Using 2D Supervision

CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision

Priyanka Mandikal

R. Venkatesh Babu

146

66

0

28 Nov 2018

Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses
of Familiar Objects

Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

Michael A. Alcorn

Stella Laurenzo

404

314

0

28 Nov 2018

Learning View Priors for Single-view 3D Reconstruction

Learning View Priors for Single-view 3D Reconstruction

240

85

0

26 Nov 2018

Unsupervised 3D Shape Learning from Image Collections in the Wild

Unsupervised 3D Shape Learning from Image Collections in the Wild

96

7

0

26 Nov 2018

Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition

Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition

194

29

0

20 Nov 2018

Hallucinating Point Cloud into 3D Sculptural Object

Hallucinating Point Cloud into 3D Sculptural Object

Chun-Liang Li

Barnabás Póczós

184

2

0

13 Nov 2018

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

Eldar Insafutdinov

Alexey Dosovitskiy

328

257

0

22 Oct 2018

MeshAdv: Adversarial Meshes for Visual Recognition

MeshAdv: Adversarial Meshes for Visual Recognition

178

26

0

11 Oct 2018

Inverse Transport Networks

Inverse Transport Networks

Fujun Luan

Ioannis Gkioulekas

170

39

0

28 Sep 2018

Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes

Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes

Peng-Shuai Wang

Yang Liu

178

124

0

21 Sep 2018

3D-Aware Scene Manipulation via Inverse Graphics

3D-Aware Scene Manipulation via Inverse Graphics

Jun-Yan Zhu

Jiajun Wu

Antonio Torralba

William T. Freeman

315

89

0

28 Aug 2018

Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically
Differentiable Renderer

Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer

Hsueh-Ti Derek Liu

Chun-Liang Li

Derek Nowrouzezahrai

160

13

0

08 Aug 2018

RenderNet: A deep convolutional network for differentiable rendering
from 3D shapes

RenderNet: A deep convolutional network for differentiable rendering from 3D shapes

Thu Nguyen-Phuoc

Stephen Balaban

Yong-Liang Yang

250

160

0

18 Jun 2018

Learning 3D Shape Completion under Weak Supervision

Learning 3D Shape Completion under Weak Supervision

222

113

0

18 May 2018

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

333

1,420

0

05 Apr 2018

Learning Category-Specific Mesh Reconstruction from Image Collections

Learning Category-Specific Mesh Reconstruction from Image Collections

Angjoo Kanazawa

Shubham Tulsiani

Alexei A. Efros

320

631

0

20 Mar 2018

Multi-View Silhouette and Depth Decomposition for High Resolution 3D
Object Representation

Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object RepresentationNeural Information Processing Systems (NeurIPS), 2018

Edward James Smith

165

56

0

27 Feb 2018

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