most citedGaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materials

1 citations · 1 across the 4 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.CV2025

G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior

Junfeng Ni, Yixin Chen, Zhifei Yang +4

Despite recent advances in leveraging generative prior from pre-trained diffusion models for 3D scene reconstruction, existing methods still face two critical limitations. First, d…

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

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing

Jinlu Zhang, Yixin Chen, Zan Wang +3

Recent advances in 3D human-aware generation have made significant progress. However, existing methods still struggle with generating novel Human Object Interaction (HOI) from text…

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…