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08/18/2023
O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model
Occlusion is a common issue in 3D reconstruction from RGB-D videos, ofte...
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06/09/2023
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
The emergence of Neural Radiance Fields (NeRF) has promoted the developm...
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06/01/2023
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Geodesics are essential in many geometry processing applications. Howeve...
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05/08/2023
Location Privacy Threats and Protections in Future Vehicular Networks: A Comprehensive Review
Location privacy is critical in vehicular networks, where drivers' traje...
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04/04/2023
IterativePFN: True Iterative Point Cloud Filtering
The quality of point clouds is often limited by noise introduced during ...
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03/27/2023
NeUDF: Learning Unsigned Distance Fields from Multi-view Images for Reconstructing Non-watertight Models
Volume rendering-based 3D reconstruction from multi-view images has gain...
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03/24/2023
Deformable Model Driven Neural Rendering for High-fidelity 3D Reconstruction of Human Heads Under Low-View Settings
We propose a robust method for learning neural implicit functions that c...
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03/02/2023
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution
Implicit neural representation (INR) is a popular approach for arbitrary...
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12/17/2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
Point clouds are characterized by irregularity and unstructuredness, whi...
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11/30/2022
GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation
The recent neural implicit representation-based methods have greatly adv...
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09/20/2022
Iterative Poisson Surface Reconstruction (iPSR) for Unoriented Points
Poisson surface reconstruction (PSR) remains a popular technique for rec...
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09/02/2022
PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering
Recovering high quality surfaces from noisy point clouds, known as point...
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07/17/2022
RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation
Grounding dialogue system with external knowledge is a promising way to ...
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05/24/2022
Hierarchical Vectorization for Portrait Images
Aiming at developing intuitive and easy-to-use portrait editing tools, w...
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04/04/2022
Flexible Portrait Image Editing with Fine-Grained Control
We develop a new method for portrait image editing, which supports fine-...
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03/22/2022
IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment
This paper investigates the problem of temporally interpolating dynamic ...
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08/31/2021
GeodesicEmbedding (GE): A High-Dimensional Embedding Approach for Fast Geodesic Distance Queries
In this paper, we develop a novel method for fast geodesic distance quer...
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07/28/2021
Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
The existing 3D deep learning methods adopt either individual point-base...
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07/13/2021
PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows
Point cloud upsampling aims to generate dense point clouds from given sp...
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04/30/2021
Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning
We present a new convolutional neural network, called Multi Voxel-Point ...
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04/02/2021
RABA: A Robust Avatar Backdoor Attack on Deep Neural Network
With the development of Deep Neural Network (DNN), as well as the demand...
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12/31/2020
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
This paper addresses the problem of computing dense correspondence betwe...
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12/05/2020
ParaNet: Deep Regular Representation for 3D Point Clouds
Although convolutional neural networks have achieved remarkable success ...
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11/25/2020
Deep Magnification-Arbitrary Upsampling over 3D Point Clouds
This paper addresses the problem of generating dense point clouds from g...
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07/11/2020
Deep Patch-based Human Segmentation
3D human segmentation has seen noticeable progress in re-cent years. It,...
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05/01/2020
MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling
Downsampling is a commonly-used technique in 3D point cloudprocessing fo...
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03/07/2020
STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image
3D reconstruction from a single view image is a long-standing prob-lem i...
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02/24/2020
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling
This paper addresses the problem of generating uniform dense point cloud...
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02/14/2020
Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling
Point cloud filtering is a fundamental problem in geometry modeling and ...
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12/18/2019
Spotting Macro- and Micro-expression Intervals in Long Video Sequences
This paper presents baseline results for the Third Facial Micro-Expressi...
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07/01/2019
Geodesic Centroidal Voronoi Tessellations: Theories, Algorithms and Applications
Nowadays, big data of digital media (including images, videos and 3D gra...
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05/12/2019
HLO: Half-kernel Laplacian Operator for Surface Smoothing
This paper presents a simple yet effective method for feature-preserving...
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03/26/2019
Kernel-Free Image Deblurring with a Pair of Blurred/Noisy Images
Complex blur like the mixup of space-variant and space-invariant blur, w...
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12/14/2018
Parallel and Scalable Heat Methods for Geodesic Distance Computation
In this paper, we propose a parallel and scalable approach for geodesic ...
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12/14/2018
Parallel and Scalable Heat Method
The heat method is a popular approach to computing geodesic distances on...
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06/24/2018
Golden interpolation
For the classic aesthetic interpolation problem, we propose a novel thou...
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03/19/2018
Low Rank Matrix Approximation for Geometry Filtering
We propose a robust, anisotropic normal estimation method for both point...
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11/01/2017
Internet of Cloud: Security and Privacy issues
The synergy between the cloud and the IoT has emerged largely due to the...
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01/16/2017
Poisson Vector Graphics (PVG) and Its Closed-Form Solver
This paper presents Poisson vector graphics, an extension of the popular...
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05/21/2015
Constructing Intrinsic Delaunay Triangulations from the Dual of Geodesic Voronoi Diagrams
Intrinsic Delaunay triangulation (IDT) is a fundamental data structure i...
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05/07/2013
