2 citations · 2 across the 5 of their papers we have counts for
5 papers
Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction
Binxiao Huang, Zhihao Li, Shiyong Liu +7
3D Gaussian splatting (3DGS) has demonstrated exceptional performance in image-based 3D reconstruction and real-time rendering. However, regions with complex textures require numer…
Zero-P-to-3: Zero-Shot Partial-View Images to 3D Object
Yuxuan Lin, Ruihang Chu, Zhenyu Chen +9
Generative 3D reconstruction shows strong potential in incomplete observations. While sparse-view and single-image reconstruction are well-researched, partial observation remains u…
Direction-Aware Hybrid Representation Learning for 3D Hand Pose and Shape Estimation
Shiyong Liu, Zhihao Li, Xiao Tang +1
Most model-based 3D hand pose and shape estimation methods directly regress the parametric model parameters from an image to obtain 3D joints under weak supervision. However, these…
DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds
Youyu Chen, Junjun Jiang, Kui Jiang +4
3D Gaussian Splatting (3DGS) renders pixels by rasterizing Gaussian primitives, where the rendering resolution and the primitive number, concluded as the optimization complexity, d…
SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting
Kaichen Zhou, Lanqing Hong, Xinhai Chang +7
A key challenge in fine-grained 3D-based interactive editing is the absence of an efficient representation that balances diverse modifications with high-quality view synthesis unde…