activity
20242026
collaborators

8 papers

cs.CV2026

StreamSplat: Streaming Feed-Forward 3D Gaussian Splatting

Changhao Song, Yuxuan Wang, Qibiao Li +2

Feed-forward 3D Gaussian Splatting enables efficient novel-view synthesis without per-scene optimization, but most existing methods assume a fixed set of context views and process…

cs.GR2026

VVGT: Visual Volume-Grounded Transformer

Yuxuan Wang, Qibiao Li, Youcheng Cai

Volumetric visualization has long been dominated by Direct Volume Rendering (DVR), which operates on dense voxel grids and suffers from limited scalability as resolution and intera…

cs.CV2025

NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos

Qingshan Xu, Jiao Liu, Shangshu Yu +6

In this paper, we aim to create physical digital twins of deformable objects under interaction. Existing methods focus more on the physical learning of current state modeling, but…

cs.CV2025

DragNeXt: Rethinking Drag-Based Image Editing

Yuan Zhou, Junbao Zhou, Qingshan Xu +5

Drag-Based Image Editing (DBIE), which allows users to manipulate images by directly dragging objects within them, has recently attracted much attention from the community. However…

cs.CV2025

Personalize Your Gaussian: Consistent 3D Scene Personalization from a Single Image

Yuxuan Wang, Xuanyu Yi, Qingshan Xu +3

Personalizing 3D scenes from a single reference image enables intuitive user-guided editing, which requires achieving both multi-view consistency across perspectives and referentia…

cs.CV2025

Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation

Yuxuan Wang, Xuanyu Yi, Haohan Weng +6

Triangle meshes are fundamental to 3D applications, enabling efficient modification and rasterization while maintaining compatibility with standard rendering pipelines. However, cu…

cs.CV2024

Pushing Rendering Boundaries: Hard Gaussian Splatting

Qingshan Xu, Jiequan Cui, Xuanyu Yi +4

3D Gaussian Splatting (3DGS) has demonstrated impressive Novel View Synthesis (NVS) results in a real-time rendering manner. During training, it relies heavily on the average magni…

cs.GR2024

View-Consistent 3D Editing with Gaussian Splatting

Yuxuan Wang, Xuanyu Yi, Zike Wu +3

The advent of 3D Gaussian Splatting (3DGS) has revolutionized 3D editing, offering efficient, high-fidelity rendering and enabling precise local manipulations. Currently, diffusion…