Matthias Zwicker

research

∙ 05/03/2023

Inverse Global Illumination using a Neural Radiometric Prior

Inverse rendering methods that account for global illumination are becom...

0 Saeed Hadadan, et al. ∙

research

∙ 03/25/2023

PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters

We propose PAniC-3D, a system to reconstruct stylized 3D character heads...

0 Shuhong Chen, et al. ∙

research

∙ 04/23/2022

Surface Reconstruction from Point Clouds by Learning Predictive Context Priors

Surface reconstruction from point clouds is vital for 3D computer vision...

1 Baorui Ma, et al. ∙

research

∙ 01/31/2022

Differentiable Neural Radiosity

We introduce Differentiable Neural Radiosity, a novel method of represen...

0 Saeed Hadadan, et al. ∙

research

∙ 12/19/2021

HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars

We propose a novel neural rendering pipeline, Hybrid Volumetric-Textural...

0 Tao Hu, et al. ∙

research

∙ 11/24/2021

Improving the Perceptual Quality of 2D Animation Interpolation

Traditional 2D animation is labor-intensive, often requiring animators t...

0 Shuhong Chen, et al. ∙

research

∙ 11/24/2021

EgoRenderer: Rendering Human Avatars from Egocentric Camera Images

We present EgoRenderer, a system for rendering full-body neural avatars ...

6 Tao Hu, et al. ∙

research

∙ 11/02/2021

PatchGame: Learning to Signal Mid-level Patches in Referential Games

We study a referential game (a type of signaling game) where two agents ...

0 Kamal Gupta, et al. ∙

research

∙ 08/08/2021

Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching

Learning to generate 3D point clouds without 3D supervision is an import...

0 Chen Chao, et al. ∙

research

∙ 08/08/2021

Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views

Unsupervised learning of global features for 3D shape analysis is an imp...

2 Zhizhong Han, et al. ∙

research

∙ 08/04/2021

Transfer Learning for Pose Estimation of Illustrated Characters

Human pose information is a critical component in many downstream image ...

0 Shuhong Chen, et al. ∙

research

∙ 05/26/2021

Neural Radiosity

We introduce Neural Radiosity, an algorithm to solve the rendering equat...

13 Saeed Hadadan, et al. ∙

research

∙ 12/14/2020

Continuous Curve Textures

Repetitive patterns are ubiquitous in natural and human-made objects, an...

0 Peihan Tu, et al. ∙

research

∙ 11/26/2020

Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

Reconstructing continuous surfaces from 3D point clouds is a fundamental...

8 Baorui Ma, et al. ∙

research

∙ 09/07/2020

Improved Modeling of 3D Shapes with Multi-view Depth Maps

We present a simple yet effective general-purpose framework for modeling...

8 Kamal Gupta, et al. ∙

research

∙ 07/12/2020

DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images

Differentiable renderers have been used successfully for unsupervised 3D...

2 Zhizhong Han, et al. ∙

research

∙ 05/26/2020

Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions

Fine-grained 3D shape classification is important and research challengi...

5 Xinhai Liu, et al. ∙

research

∙ 03/18/2020

LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts

Learning discriminative feature directly on point clouds is still challe...

0 Xinhai Liu, et al. ∙

research

∙ 03/18/2020

LRC-Net: Learning Discriminative Features on Point Clouds by EncodingLocal Region Contexts

Learning discriminative feature directly on point clouds is still challe...

0 Xinhai Liu, et al. ∙

research

∙ 03/12/2020

SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates

Structure learning for 3D shapes is vital for 3D computer vision. State-...

21 Zhizhong Han, et al. ∙

research

∙ 02/23/2020

ORCSolver: An Efficient Solver for Adaptive GUI Layout with OR-Constraints

OR-constrained (ORC) graphical user interface layouts unify conventional...

0 Yue Jiang, et al. ∙

research

∙ 01/08/2020

Learning Generative Models using Denoising Density Estimators

Learning generative probabilistic models that can estimate the continuou...

27 Siavash A. Bigdeli, et al. ∙

research

∙ 12/22/2019

Learning to Generate Dense Point Clouds with Textures on Multiple Categories

3D reconstruction from images is a core problem in computer vision. With...

21 Tao Hu, et al. ∙

research

∙ 12/15/2019

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

We propose SDFDiff, a novel approach for image-based shape optimization ...

53 Yue Jiang, et al. ∙

research

∙ 11/28/2019

3D Shape Completion with Multi-view Consistent Inference

3D shape completion is important to enable machines to perceive the comp...

19 Tao Hu, et al. ∙

research

∙ 08/02/2019

L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention

Auto-encoder is an important architecture to understand point clouds in ...

2 Xinhai Liu, et al. ∙

research

∙ 07/31/2019

ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences

3D shape captioning is a challenging application in 3D shape understandi...

1 Zhizhong Han, et al. ∙

research

∙ 07/30/2019

Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction

Unsupervised feature learning for point clouds has been vital for large-...

0 Zhizhong Han, et al. ∙

research

∙ 05/18/2019

Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views

Deep learning has achieved remarkable results in 3D shape analysis by le...

2 Zhizhong Han, et al. ∙

research

∙ 05/17/2019

3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention

Learning global features by aggregating information over multiple views ...

0 Zhizhong Han, et al. ∙

research

∙ 04/17/2019

Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion

We propose a novel approach for 3D shape completion by synthesizing mult...

0 Tao Hu, et al. ∙

research

∙ 03/15/2019

Smart, Deep Copy-Paste

In this work, we propose a novel system for smart copy-paste, enabling t...

79 Tiziano Portenier, et al. ∙

research

∙ 01/06/2019

Understanding the (un)interpretability of natural image distributions using generative models

Probability density estimation is a classical and well studied problem, ...

20 Ryen Krusinga, et al. ∙

research

∙ 12/05/2018

Video Synthesis from a Single Image and Motion Stroke

In this paper, we propose a new method to automatically generate a video...

10 Qiyang Hu, et al. ∙

research

∙ 11/07/2018

Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences

A recent method employs 3D voxels to represent 3D shapes, but this limit...

8 Zhizhong Han, et al. ∙

research

∙ 11/07/2018

View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions

In this paper we present a novel unsupervised representation learning ap...

10 Zhizhong Han, et al. ∙

research

∙ 11/06/2018

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Exploring contextual information in the local region is important for sh...

2 Xinhai Liu, et al. ∙

research

∙ 08/23/2018

Learning to Importance Sample in Primary Sample Space

Importance sampling is one of the most widely used variance reduction st...

2 Quan Zheng, et al. ∙

research

∙ 07/14/2018

Specular-to-Diffuse Translation for Multi-View Reconstruction

Most multi-view 3D reconstruction algorithms, especially when shape-from...

2 Shihao Wu, et al. ∙

research

∙ 04/24/2018

FaceShop: Deep Sketch-based Face Image Editing

We present a novel system for sketch-based face image editing, enabling ...

0 Tiziano Portenier, et al. ∙

research

∙ 11/20/2017

Disentangling Factors of Variation by Mixing Them

We propose an unsupervised approach to learn image representations that ...

0 Qiyang Hu, et al. ∙

research

∙ 11/07/2017

Challenges in Disentangling Independent Factors of Variation

We study the problem of building models that disentangle independent fac...

0 Attila Szabó, et al. ∙

research

∙ 09/12/2017

Deep Mean-Shift Priors for Image Restoration

In this paper we introduce a natural image prior that directly represent...

0 Siavash Arjomand Bigdeli, et al. ∙

research

∙ 03/29/2017

Image Restoration using Autoencoding Priors

We propose to leverage denoising autoencoder networks as priors to addre...

0 Siavash Arjomand Bigdeli, et al. ∙

research

∙ 08/16/2016

Temporally Consistent Motion Segmentation from RGB-D Video

We present a method for temporally consistent motion segmentation from R...

0 Peter Bertholet, et al. ∙

Matthias Zwicker

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