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09/19/2023
What is the Best Automated Metric for Text to Motion Generation?
There is growing interest in generating skeleton-based human motions fro...
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08/08/2023
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On
Fabricating and designing 3D garments has become extremely demanding wit...
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07/29/2023
Rapid Flood Inundation Forecast Using Fourier Neural Operator
Flood inundation forecast provides critical information for emergency pl...
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06/05/2023
Learning from Multi-View Representation for Point-Cloud Pre-Training
A critical problem in the pre-training of 3D point clouds is leveraging ...
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05/29/2023
Jigsaw: Learning to Assemble Multiple Fractured Objects
Automated assembly of 3D fractures is essential in orthopedics, archaeol...
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04/20/2023
GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models
This paper introduces GenCorres, a novel unsupervised joint shape matchi...
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04/04/2023
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation
Bird's-Eye View (BEV) features are popular intermediate scene representa...
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03/15/2023
DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation
We present DeblurSR, a novel motion deblurring approach that converts a ...
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10/06/2022
Neural Volumetric Mesh Generator
Deep generative models have shown success in generating 3D shapes with d...
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07/24/2022
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation
This paper introduces a data-driven shape completion approach that focus...
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06/24/2022
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction
Reconstructing 3D objects is an important computer vision task that has ...
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03/03/2022
E-CIR: Event-Enhanced Continuous Intensity Recovery
A camera begins to sense light the moment we press the shutter button. D...
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01/03/2022
Implicit Autoencoder for Point Cloud Self-supervised Representation Learning
Many 3D representations (e.g., point clouds) are discrete samples of the...
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08/30/2021
Scene Synthesis via Uncertainty-Driven Attribute Synchronization
Developing deep neural networks to generate 3D scenes is a fundamental p...
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08/21/2021
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators
This paper introduces an unsupervised loss for training parametric defor...
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05/22/2021
HPNet: Deep Primitive Segmentation Using Hybrid Representations
This paper introduces HPNet, a novel deep-learning approach for segmenti...
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04/27/2021
MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions
Deep learning has made significant impacts on multi-view stereo systems....
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06/10/2020
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
We introduce H3DNet, which takes a colorless 3D point cloud as input and...
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01/07/2020
HybridPose: 6D Object Pose Estimation under Hybrid Representations
We introduce HybridPose, a novel 6D object pose estimation approach. Hyb...
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12/25/2019
Extreme Relative Pose Network under Hybrid Representations
In this paper, we introduce a novel RGB-D based relative pose estimation...
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05/16/2019
Joint Learning of Neural Networks via Iterative Reweighted Least Squares
In this paper, we introduce the problem of jointly learning feed-forward...
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01/27/2019
Learning Transformation Synchronization
Reconstructing the 3D model of a physical object typically requires us t...
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01/14/2019
Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
This paper addresses the problem of 3D pose estimation for multiple peop...
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12/31/2018
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
Estimating the relative rigid pose between two RGB-D scans of the same u...
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12/31/2018
PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
This paper addresses the challenge of 6DoF pose estimation from a single...
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12/31/2018
Path-Invariant Map Networks
Optimizing a network of maps among a collection of objects/domains (or m...
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08/06/2018
Deep Generative Modeling for Scene Synthesis via Hybrid Representations
We present a deep generative scene modeling technique for indoor environ...
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03/25/2018
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
Semantic keypoints provide concise abstractions for a variety of visual ...
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12/15/2017
Unsupervised Domain Adaptation for 3D Keypoint Prediction from a Single Depth Scan
In this paper, we introduce a novel unsupervised domain adaptation techn...
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12/12/2017
3D Object Classification via Spherical Projections
In this paper, we introduce a new method for classifying 3D objects. Our...
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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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04/08/2017
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
In this paper, we study the task of 3D human pose estimation in the wild...
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03/12/2017
SurfNet: Generating 3D shape surfaces using deep residual networks
3D shape models are naturally parameterized using vertices and faces, , ...
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04/20/2016
Symmetry-aware Depth Estimation using Deep Neural Networks
Due to the abundance of 2D product images from the Internet, developing ...
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04/18/2016
Learning Dense Correspondence via 3D-guided Cycle Consistency
Discriminative deep learning approaches have shown impressive results fo...
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04/11/2016
Capturing Dynamic Textured Surfaces of Moving Targets
We present an end-to-end system for reconstructing complete watertight a...
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12/09/2015
ShapeNet: An Information-Rich 3D Model Repository
We present ShapeNet: a richly-annotated, large-scale repository of shape...
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11/18/2015
Dense Human Body Correspondences Using Convolutional Networks
We propose a deep learning approach for finding dense correspondences be...
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02/24/2015
Data-Driven Shape Analysis and Processing
Data-driven methods play an increasingly important role in discovering g...
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05/19/2014