activity
20242026
collaborators

6 papers

cs.CV2026

DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion

Yuhan Ping, Yuan Liu, Xiaoxiao Long +6

In this paper, we introduce \textit{DecoRec}, a novel system designed to elevate single-view 2D images to a decomposed 3D scene mesh. Current methods for single-view scene reconstr…

cs.CV2026

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors

Rui Xu, Wenyue Chen, Jiepeng Wang +7

Gaussian Splatting demonstrates impressive results in multi-view reconstruction based on Gaussian explicit representations. However, the current Gaussian primitives only have a sin…

cs.CV2026

MEGS: Memory-Efficient Gaussian Splatting via Spherical Gaussians and Unified Pruning

Jiarui Chen, Yikeng Chen, Yingshuang Zou +5

3D Gaussian Splatting (3DGS) has emerged as a dominant novel-view synthesis technique, but its high memory consumption severely limits its applicability on edge devices. A growing…

cs.CV2025

MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors

Qingming Liu, Yuan Liu, Jiepeng Wang +4

In this paper, we propose MoDGS, a new pipeline to render novel views of dy namic scenes from a casually captured monocular video. Previous monocular dynamic NeRF or Gaussian Splat…

cs.CV2025

3R-GS: Best Practice in Optimizing Camera Poses Along with 3DGS

Zhisheng Huang, Peng Wang, Jingdong Zhang +3

3D Gaussian Splatting (3DGS) has revolutionized neural rendering with its efficiency and quality, but like many novel view synthesis methods, it heavily depends on accurate camera…

cs.CV2024

GausSurf: Geometry-Guided 3D Gaussian Splatting for Surface Reconstruction

Jiepeng Wang, Yuan Liu, Peng Wang +5

3D Gaussian Splatting has achieved impressive performance in novel view synthesis with real-time rendering capabilities. However, reconstructing high-quality surfaces with fine det…