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10/17/2022
Morig: Motion-aware rigging of character meshes from point clouds
We present MoRig, a method that automatically rigs character meshes driv...
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08/18/2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation
We propose to utilize self-supervised techniques in the 2D domain for fi...
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07/23/2022
Audio-driven Neural Gesture Reenactment with Video Motion Graphs
Human speech is often accompanied by body gestures including arm and han...
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06/04/2022
APES: Articulated Part Extraction from Sprite Sheets
Rigged puppets are one of the most prevalent representations to create 2...
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05/27/2022
ANISE: Assembly-based Neural Implicit Surface rEconstruction
We present ANISE, a method that reconstructs a 3D shape from partial obs...
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05/24/2022
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions
We present ASSET, a neural architecture for automatically modifying an i...
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01/25/2022
Projective Urban Texturing
This paper proposes a method for automatic generation of textures for 3D...
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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 ...
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10/11/2021
BuildingNet: Learning to Label 3D Buildings
We introduce BuildingNet: (a) a large-scale dataset of 3D building model...
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10/08/2021
Neural Strokes: Stylized Line Drawing of 3D Shapes
This paper introduces a model for producing stylized line drawings from ...
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07/15/2020
Learning Part Boundaries from 3D Point Clouds
We present a method that detects boundaries of parts in 3D shapes repres...
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05/01/2020
RigNet: Neural Rigging for Articulated Characters
We present RigNet, an end-to-end automated method for producing animatio...
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03/30/2020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
The problems of shape classification and part segmentation from 3D point...
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03/26/2020
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
We propose a novel, end-to-end trainable, deep network called ParSeNet t...
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03/23/2020
Neural Contours: Learning to Draw Lines from 3D Shapes
This paper introduces a method for learning to generate line drawings fr...
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03/20/2020
Cross-Shape Graph Convolutional Networks
We present a method that processes 3D point clouds by performing graph c...
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12/22/2019
Neural Shape Parsers for Constructive Solid Geometry
Constructive Solid Geometry (CSG) is a geometric modeling technique that...
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10/03/2019
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation
User generated 3D shapes in online repositories contain rich information...
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08/22/2019
Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets
We present a learning method for predicting animation skeletons for inpu...
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07/25/2019
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
In this paper we propose a neural message passing approach to augment an...
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10/20/2018
Learning Material-Aware Local Descriptors for 3D Shapes
Material understanding is critical for design, geometric modeling, and a...
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09/19/2018
Deep Part Induction from Articulated Object Pairs
Object functionality is often expressed through part articulation -- as ...
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05/24/2018
VisemeNet: Audio-Driven Animator-Centric Speech Animation
We present a novel deep-learning based approach to producing animator-ce...
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12/22/2017
CSGNet: Neural Shape Parser for Constructive Solid Geometry
We present a neural architecture that takes as input a 2D or 3D shape an...
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10/17/2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
We introduce a large-scale 3D shape understanding benchmark using data a...
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09/22/2017
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference
We propose a data-driven method for recovering miss-ing parts of 3D shap...
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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...
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06/14/2017
Learning Local Shape Descriptors from Part Correspondences With Multi-view Convolutional Networks
We present a new local descriptor for 3D shapes, directly applicable to ...
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12/08/2016
3D Shape Segmentation with Projective Convolutional Networks
This paper introduces a deep architecture for segmenting 3D objects into...
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05/05/2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
A longstanding question in computer vision concerns the representation o...
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02/24/2015
