activity
20242026
most citedGaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materials

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV2026

HappyWorld-Bench

Zhiqi Bai, Junai Cai, Yixin Chen +33

Evaluating world models requires assessing both the quality of the worlds they generate and their consistency and responsiveness under exploration, interaction, and modification. W…

cs.CV2026

SceneAssistant: A Visual Feedback Agent for Open-Vocabulary 3D Scene Generation

Jun Luo, Jiaxiang Tang, Ruijie Lu +1

Text-to-3D scene generation from natural language is highly desirable for digital content creation. However, existing methods are largely domain-restricted or reliant on predefined…

cs.CV2026★ 1 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

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

TACO: Taming Diffusion for in-the-wild Video Amodal Completion

Ruijie Lu, Yixin Chen, Yu Liu +5

Humans can infer complete shapes and appearances of objects from limited visual cues, relying on extensive prior knowledge of the physical world. However, completing partially obse…

cs.CV2024

Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis

Diwen Wan, Yuxiang Wang, Ruijie Lu +1

While novel view synthesis for dynamic scenes has made significant progress, capturing skeleton models of objects and re-posing them remains a challenging task. To tackle this prob…

cs.CV2024

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes

Ruijie Lu, Yixin Chen, Junfeng Ni +5

Repurposing pre-trained diffusion models has been proven to be effective for NVS. However, these methods are mostly limited to a single object; directly applying such methods to co…

cs.CV2024

Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction

Diwen Wan, Ruijie Lu, Gang Zeng

Rendering novel view images in dynamic scenes is a crucial yet challenging task. Current methods mainly utilize NeRF-based methods to represent the static scene and an additional t…

cs.CV2024

RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting

Qi Wang, Ruijie Lu, Xudong Xu +5

The advancement of diffusion models has pushed the boundary of text-to-3D object generation. While it is straightforward to composite objects into a scene with reasonable geometry,…