4 citations · 7 across the 25 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
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…
InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
Haomin Wang, Jinhui Yin, Qi Wei +12
General SVG modeling remains challenging due to fragmented datasets, limited transferability of methods across tasks, and the difficulty of handling structural complexity. In respo…
StableIntrinsic: Detail-preserving One-step Diffusion Model for Multi-view Material Estimation
Xiuchao Wu, Pengfei Zhu, Jiangjing Lyu +5
Recovering material information from images has been extensively studied in computer graphics and vision. Recent works in material estimation leverage diffusion model showing promi…
GaRe: Relightable 3D Gaussian Splatting for Outdoor Scenes from Unconstrained Photo Collections
Haiyang Bai, Jiaqi Zhu, Songru Jiang +7
We propose a 3D Gaussian splatting-based framework for outdoor relighting that leverages intrinsic image decomposition to precisely integrate sunlight, sky radiance, and indirect l…
Test-Time-Matching: Decouple Personality, Memory, and Linguistic Style in LLM-based Role-Playing Language Agent
Xiaoyu Zhan, Xinyu Fu, Hao Sun +3
The rapid advancement of large language models (LLMs) has enabled role-playing language agents to demonstrate significant potential in various applications. However, relying solely…
Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians
Ma Changfeng, Bi Ran, Guo Jie +2
Current learning-based methods predict NeRF or 3D Gaussians from point clouds to achieve photo-realistic rendering but still depend on categorical priors, dense point clouds, or ad…
SGCR: Spherical Gaussians for Efficient 3D Curve Reconstruction
Xinran Yang, Donghao Ji, Yuanqi Li +3
Neural rendering techniques have made substantial progress in generating photo-realistic 3D scenes. The latest 3D Gaussian Splatting technique has achieved high quality novel view…
TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians
Letian Huang, Dongwei Ye, Jialin Dan +7
The emergence of neural and Gaussian-based radiance field methods has led to considerable advancements in novel view synthesis and 3D object reconstruction. Nonetheless, specular r…
Bernstein Bounds for Caustics
Zhimin Fan, Chen Wang, Yiming Wang +5
Systematically simulating specular light transport requires an exhaustive search for primitive tuples containing admissible paths. Given the extreme inefficiency of enumerating all…