most citedGaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materials

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV20261 cited

GaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materials

Bei Huang, Yixin Chen, Ruijie Lu +4

3D Gaussian Splatting (3DGS) has emerged as a prominent 3D representation for high-fidelity and real-time rendering. Prior work has coupled physics simulation with Gaussians, but p…

cs.CV2025

3D Scene Change Modeling With Consistent Multi-View Aggregation

Zirui Zhou, Junfeng Ni, Shujie Zhang +2

Change detection plays a vital role in scene monitoring, exploration, and continual reconstruction. Existing 3D change detection methods often exhibit spatial inconsistency in the…

cs.RO2025

GWM: Towards Scalable Gaussian World Models for Robotic Manipulation

Guanxing Lu, Baoxiong Jia, Puhao Li +4

Training robot policies within a learned world model is trending due to the inefficiency of real-world interactions. The established image-based world models and policies have show…

cs.CV2025

Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing

Hongyu Shen, Junfeng Ni, Yixin Chen +3

We address the challenge of lifting 2D visual segmentation to 3D in Gaussian Splatting. Existing methods often suffer from inconsistent 2D masks across viewpoints and produce noisy…

cs.CV2025

DreamArt: Generating Interactable Articulated Objects from a Single Image

Ruijie Lu, Yu Liu, Jiaxiang Tang +6

Generating articulated objects, such as laptops and microwaves, is a crucial yet challenging task with extensive applications in Embodied AI and AR/VR. Current image-to-3D methods…

cs.CV2025

Decompositional Neural Scene Reconstruction with Generative Diffusion Prior

Junfeng Ni, Yu Liu, Ruijie Lu +4

Decompositional reconstruction of 3D scenes, with complete shapes and detailed texture of all objects within, is intriguing for downstream applications but remains challenging, par…