Media Summary: Authors: Jan Bednařík, Shaifali Parashar, Erhan Gündoğdu, Mathieu Salzmann, Pascal Fua Description: Generative models that ... Authors: Wenbin Zhu, HsiangTao Wu, Zeyu Chen, Noranart Vesdapunt, Baoyuan Wang Description: The key challenge for 3D ... NeurIPS 2018 (oral) Project Page: Authors: Xiuming Zhang*, Zhoutong Zhang*, Chengkai Zhang, ...

Shape Reconstruction By Learning Differentiable - Detailed Analysis & Overview

Authors: Jan Bednařík, Shaifali Parashar, Erhan Gündoğdu, Mathieu Salzmann, Pascal Fua Description: Generative models that ... Authors: Wenbin Zhu, HsiangTao Wu, Zeyu Chen, Noranart Vesdapunt, Baoyuan Wang Description: The key challenge for 3D ... NeurIPS 2018 (oral) Project Page: Authors: Xiuming Zhang*, Zhoutong Zhang*, Chengkai Zhang, ... Authors: Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui Description: We propose a ... Summary video corresponding to the paper "Metamaterials that In recent years, neural implicit representations gained popularity in 3D

Authors: Michael Niemeyer, Lars Mescheder, Michael Oechsle, Andreas Geiger Description: Improves the structural fidelity and visual quality of many state-of-the-art single-view 3D Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik We study the notion of consistency between a 3D CVPR 2022 paper on "Topologically-Aware Deformation Fields for Single-View 3D This lecture was part of the Thematic Programme on " Authors: Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer Description:

Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher Choy, Silvio Savarese 3D

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Shape Reconstruction by Learning Differentiable Surface Representations
ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction
Talk: Learning to Reconstruct Shapes from Unseen Classes (NeurIPS 2018 Oral)
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CVPR 2021.
Metamaterials that learn to change shape
Shape As Points: A Differentiable Poisson Solver
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
SAFT: Shape and Appearance of Fabrics from Template | ICCV 2025
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction (ECCV 2020)
A Versatile Scene Model with Differentiable Visibility, ICCV 2015
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization CVPR2020 Oral
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Shape Reconstruction by Learning Differentiable Surface Representations

Shape Reconstruction by Learning Differentiable Surface Representations

Authors: Jan Bednařík, Shaifali Parashar, Erhan Gündoğdu, Mathieu Salzmann, Pascal Fua Description: Generative models that ...

ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction

ReDA:Reinforced Differentiable Attribute for 3D Face Reconstruction

Authors: Wenbin Zhu, HsiangTao Wu, Zeyu Chen, Noranart Vesdapunt, Baoyuan Wang Description: The key challenge for 3D ...

Sponsored
Talk: Learning to Reconstruct Shapes from Unseen Classes (NeurIPS 2018 Oral)

Talk: Learning to Reconstruct Shapes from Unseen Classes (NeurIPS 2018 Oral)

NeurIPS 2018 (oral) Project Page: http://genre.csail.mit.edu/ Authors: Xiuming Zhang*, Zhoutong Zhang*, Chengkai Zhang, ...

DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing

DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing

Authors: Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui Description: We propose a ...

LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CVPR 2021.

LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CVPR 2021.

A template-free approach for articulated

Sponsored
Metamaterials that learn to change shape

Metamaterials that learn to change shape

Summary video corresponding to the paper "Metamaterials that

Shape As Points: A Differentiable Poisson Solver

Shape As Points: A Differentiable Poisson Solver

In recent years, neural implicit representations gained popularity in 3D

Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision

Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision

Authors: Michael Niemeyer, Lars Mescheder, Michael Oechsle, Andreas Geiger Description:

SAFT: Shape and Appearance of Fabrics from Template | ICCV 2025

SAFT: Shape and Appearance of Fabrics from Template | ICCV 2025

We present Saft:

DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction (ECCV 2020)

DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction (ECCV 2020)

Improves the structural fidelity and visual quality of many state-of-the-art single-view 3D

A Versatile Scene Model with Differentiable Visibility, ICCV 2015

A Versatile Scene Model with Differentiable Visibility, ICCV 2015

Generative

SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization CVPR2020 Oral

SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization CVPR2020 Oral

Talk for the paper SDFDiff:

Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency

Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency

Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik We study the notion of consistency between a 3D

CVPR 2022: Deformable Implicit 3D Reconstruction from a Single 2D Image

CVPR 2022: Deformable Implicit 3D Reconstruction from a Single 2D Image

CVPR 2022 paper on "Topologically-Aware Deformation Fields for Single-View 3D

Theo Braune - Beyond DEC: A Structure preserving Discrete Exterior Calculus for Bundle Valued Forms

Theo Braune - Beyond DEC: A Structure preserving Discrete Exterior Calculus for Bundle Valued Forms

This lecture was part of the Thematic Programme on "

DSS - Differentiable Surface Splatting for point cloud processing

DSS - Differentiable Surface Splatting for point cloud processing

SIGGRAPH Asia 2019 project page: https://igl.ethz.ch/projects/

Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction

Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction

Authors: Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer Description:

WACV18: DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image

WACV18: DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image

Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher Choy, Silvio Savarese 3D

Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision

Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision

Learning

Differentiable Dynamics for Articulated 3d Human Motion Reconstruction

Differentiable Dynamics for Articulated 3d Human Motion Reconstruction

Presentation of our paper "

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