activity
20232025
most citedTwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models

10 citations · 17 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GR2025

SZ Sequences: Binary-Based -Sequences

Abdalla G. M. Ahmed, Matt Pharr, Victor Ostromoukhov +1

Low-discrepancy sequences have seen widespread adoption in computer graphics thanks to their superior convergence rates. Since rendering integrals often comprise products of lower-…

cs.GR2025

Building LOD Representation for 3D Urban Scenes

Shanshan Pan, Runze Zhang, Yilin Liu +2

The advances in 3D reconstruction technology, such as photogrammetry and LiDAR scanning, have made it easier to reconstruct accurate and detailed 3D models for urban scenes. Nevert…

cs.CV2024

Spatial and Surface Correspondence Field for Interaction Transfer

Zeyu Huang, Honghao Xu, Haibin Huang +3

In this paper, we introduce a new method for the task of interaction transfer. Given an example interaction between a source object and an agent, our method can automatically infer…

cs.GR2024

MATTopo: Topology-preserving Medial Axis Transform with Restricted Power Diagram

Ningna Wang, Hui Huang, Shibo Song +3

We present a novel topology-preserving 3D medial axis computation framework based on volumetric restricted power diagram (RPD), while preserving the medial features and geometric c…

cs.CV2023★ 7 cited

Interaction-Driven Active 3D Reconstruction with Object Interiors

Zihao Yan, Fubao Su, Mingyang Wang +3

We introduce an active 3D reconstruction method which integrates visual perception, robot-object interaction, and 3D scanning to recover both the exterior and interior, i.e., unexp…

cs.LG2023

Neural Packing: from Visual Sensing to Reinforcement Learning

Juzhan Xu, Minglun Gong, Hao Zhang +2

We present a novel learning framework to solve the transport-and-packing (TAP) problem in 3D. It constitutes a full solution pipeline from partial observations of input objects via…

cs.GR2023★ 10 cited

TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models

Weidan Xiong, Hongqian Zhang, Botao Peng +4

Coarse architectural models are often generated at scales ranging from individual buildings to scenes for downstream applications such as Digital Twin City, Metaverse, LODs, etc. S…