activity
20152026
most citedShapeNet: An Information-Rich 3D Model Repository

2.4k citations · 5.1k across the 67 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CV2025

WildSmoke: Ready-to-Use Dynamic 3D Smoke Assets from a Single Video in the Wild

Yuqiu Liu, Jialin Song, Manolis Savva +1

We propose a pipeline to extract and reconstruct dynamic 3D smoke assets from a single in-the-wild video, and further integrate interactive simulation for smoke design and editing.…

cs.RO2025

MLFM: Multi-Layered Feature Maps for Richer Language Understanding in Zero-Shot Semantic Navigation

Sonia Raychaudhuri, Enrico Cancelli, Tommaso Campari +3

Recent progress in large vision-language models has driven improvements in language-based semantic navigation, where an embodied agent must reach a target object described in natur…

cs.GR2025

iTACO: Interactable Digital Twins of Articulated Objects from Casually Captured RGBD Videos

Weikun Peng, Jun Lv, Cewu Lu +1

Articulated objects are prevalent in daily life. Interactable digital twins of such objects have numerous applications in embodied AI and robotics. Unfortunately, current methods t…

cs.LG2025

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

Jingxuan Xu, Hong Huang, Chuhang Zou +3

We propose a neural physics system for real-time, interactive fluid simulations. Traditional physics-based methods, while accurate, are computationally intensive and suffer from la…

cs.CV2025

Digital Twin Generation from Visual Data: A Survey

Andrew Melnik, Benjamin Alt, Giang Nguyen +7

This survey examines recent advances in generating digital twins from visual data. These digital twins - virtual 3D replicas of physical assets - can be applied to robotics, media…

cs.GR2025

HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation

Hou In Derek Pun, Hou In Ivan Tam, Austin T. Wang +3

Despite advances in indoor 3D scene layout generation, synthesizing scenes with dense object arrangements remains challenging. Existing methods focus on large furniture while negle…