activity
20242026
most citedTransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians

4 citations · 6 across the 11 of their papers we have counts for

collaborators

17 papers

cs.CV2026

BrepGaussian: CAD reconstruction from Multi-View Images with Gaussian Splatting

Jiaxing Yu, Dongyang Ren, Hangyu Xu +5

The boundary representation (B-Rep) models a 3D solid as its explicit boundaries: trimmed corners, edges, and faces. Recovering B-Rep representation from unstructured data is a cha…

cs.CV2026

Flatten The Complex: Joint B-Rep Generation via Compositional -Cell Particles

Junran Lu, Yuanqi Li, Hengji Li +2

Boundary Representation (B-Rep) is the widely adopted standard in Computer-Aided Design (CAD) and manufacturing. However, generative modeling of B-Reps remains a formidable challen…

cs.CV2025

DOGE: Differentiable Bezier Graph Optimization for Road Network Extraction

Jiahui Sun, Junran Lu, Jinhui Yin +3

Automatic extraction of road networks from aerial imagery is a fundamental task, yet prevailing methods rely on polylines that struggle to model curvilinear geometry. We maintain t…

cs.GR2025

MatMart: Material Reconstruction of 3D Objects via Diffusion

Xiuchao Wu, Pengfei Zhu, Jiangjing Lyu +5

Applying diffusion models to physically-based material estimation and generation has recently gained prominence. In this paper, we propose \ttt, a novel material reconstruction fra…

cs.CV2025

LoG3D: Ultra-High-Resolution 3D Shape Modeling via Local-to-Global Partitioning

Xinran Yang, Shuichang Lai, Jiangjing Lyu +6

Generating high-fidelity 3D contents remains a fundamental challenge due to the complexity of representing arbitrary topologies-such as open surfaces and intricate internal structu…

cs.CV2025

Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models

Xiaoyu Zhan, Wenxuan Huang, Hao Sun +11

Recent advances in Multimodal Large Language Models (MLLMs) have significantly improved 2D visual understanding, prompting interest in their application to complex 3D reasoning tas…