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20182026
most citedLearning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement

20 citations · 36 across the 27 of their papers we have counts for

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5 papers · 1 filter

cs.GR2026

HoloTetSphere: Unified TetSphere Mesh Reconstruction for Physical Simulations

YaQiao Dai, Renjiao Yi, Zhirui Gao +3

Standard pipelines for physics-ready 3D reconstruction rely on a decoupled two-stage paradigm: extracting surface geometry followed by an error-prone tetrahedralization process. Wh…

cs.GR2023

Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction

Hui Tian, Zheng Qin, Renjiao Yi +2

Surface reconstruction from raw point clouds has been studied for decades in the computer graphics community, which is highly demanded by modeling and rendering applications nowada…

cs.GR2020

Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation

Jiazhao Zhang, Chenyang Zhu, Lintao Zheng +1

Online semantic 3D segmentation in company with real-time RGB-D reconstruction poses special challenges such as how to perform 3D convolution directly over the progressively fused…

cs.GR2019

Active Scene Understanding via Online Semantic Reconstruction

Lintao Zheng, Chenyang Zhu, Jiazhao Zhang +4

We propose a novel approach to robot-operated active understanding of unknown indoor scenes, based on online RGBD reconstruction with semantic segmentation. In our method, the expl…

cs.GR2018

SCORES: Shape Composition with Recursive Substructure Priors

Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri +2

We introduce SCORES, a recursive neural network for shape composition. Our network takes as input sets of parts from two or more source 3D shapes and a rough initial placement of t…