most citedCrossGen: Learning and Generating Cross Fields for Quad Meshing

3 citations · 4 across the 8 of their papers we have counts for

collaborators

9 papers

cs.GR2025★ 3 cited

CrossGen: Learning and Generating Cross Fields for Quad Meshing

Qiujie Dong, Jiepeng Wang, Rui Xu +10

Cross fields play a critical role in various geometry processing tasks, especially for quad mesh generation. Existing methods for cross field generation often struggle to balance c…

cs.CV2025

MMGen: Unified Multi-modal Image Generation and Understanding in One Go

Jiepeng Wang, Zhaoqing Wang, Hao Pan +4

A unified diffusion framework for multi-modal generation and understanding has the transformative potential to achieve seamless and controllable image diffusion and other cross-mod…

cs.CV2025

MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow

Hanzhuo Huang, Yuan Liu, Ge Zheng +3

In this paper, we present MVTokenFlow for high-quality 4D content creation from monocular videos. Recent advancements in generative models such as video diffusion models and multiv…

cs.CV2024

PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM

Runnan Chen, Zhaoqing Wang, Jiepeng Wang +4

Understanding geometric, semantic, and instance information in 3D scenes from sequential video data is essential for applications in robotics and augmented reality. However, existi…

cs.CV2024

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies

Runnan Chen, Xiangyu Sun, Zhaoqing Wang +8

Open-vocabulary scene understanding using 3D Gaussian (3DGS) representations has garnered considerable attention. However, existing methods mostly lift knowledge from large 2D visi…

cs.CV2024

SolidGS: Consolidating Gaussian Surfel Splatting for Sparse-View Surface Reconstruction

Zhuowen Shen, Yuan Liu, Zhang Chen +9

Gaussian splatting has achieved impressive improvements for both novel-view synthesis and surface reconstruction from multi-view images. However, current methods still struggle to…

cs.CV2024★ 1 cited

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones

Xuqian Ren, Matias Turkulainen, Jiepeng Wang +4

Geometric priors are often used to enhance 3D reconstruction. With many smartphones featuring low-resolution depth sensors and the prevalence of off-the-shelf monocular geometry es…

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…

cs.CV2024

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…