215 citations · 460 across the 46 of their papers we have counts for
17 papers · 1 filter
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering
Jiayi Song, Weidong Yang, Zhijun Li +2
The task of point cloud upsampling (PCU) is to generate dense and uniform point clouds from sparse input captured by 3D sensors like LiDAR, holding potential applications in real y…
SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting
Jingyi Xu, Yeqi Luo, Weidong Yang +4
Arctic sea ice performs a vital role in global climate and has paramount impacts on both polar ecosystems and coastal communities. In the last few years, multiple deep learning bas…
IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
Jingyi Xu, Siwei Tu, Weidong Yang +6
Variation of Arctic sea ice has significant impacts on polar ecosystems, transporting routes, coastal communities, and global climate. Tracing the change of sea ice at a finer scal…
PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling
Junchao Gong, Siwei Tu, Weidong Yang +6
Precipitation nowcasting plays a pivotal role in socioeconomic sectors, especially in severe convective weather warnings. Although notable progress has been achieved by approaches…
GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning
Keyi Liu, Yeqi Luo, Weidong Yang +4
Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches f…
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
Lipeng Ma, Weidong Yang, Sihang Jiang +6
Logs play a critical role in providing essential information for system monitoring and troubleshooting. Recently, with the success of pre-trained language models (PLMs) and large l…
Benchmarking AI-based data assimilation to advance data-driven global weather forecasting
Wuxin Wang, Weicheng Ni, Ben Fei +7
Research on Artificial Intelligence (AI)-based Data Assimilation (DA) is expanding rapidly. However, the absence of an objective, comprehensive, and real-world benchmark hinders th…
Taming Generative Diffusion Prior for Universal Blind Image Restoration
Siwei Tu, Weidong Yang, Ben Fei
Diffusion models have been widely utilized for image restoration. However, previous blind image restoration methods still need to assume the type of degradation model while leaving…
RefGaussian: Disentangling Reflections from 3D Gaussian Splatting for Realistic Rendering
Rui Zhang, Tianyue Luo, Weidong Yang +5
3D Gaussian Splatting (3D-GS) has made a notable advancement in the field of neural rendering, 3D scene reconstruction, and novel view synthesis. Nevertheless, 3D-GS encounters the…
Lightening Anything in Medical Images
Ben Fei, Yixuan Li, Weidong Yang +5
The development of medical imaging techniques has made a significant contribution to clinical decision-making. However, the existence of suboptimal imaging quality, as indicated by…
Towards Unified Representation of Multi-Modal Pre-training for 3D Understanding via Differentiable Rendering
Ben Fei, Yixuan Li, Weidong Yang +2
State-of-the-art 3D models, which excel in recognition tasks, typically depend on large-scale datasets and well-defined category sets. Recent advances in multi-modal pre-training h…
3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion
Yixuan Li, Weidong Yang, Ben Fei
Point cloud completion aims to generate a complete and high-fidelity point cloud from an initially incomplete and low-quality input. A prevalent strategy involves leveraging Transf…
3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering
Qingyuan Zhou, Weidong Yang, Ben Fei +5
Noise is an inevitable aspect of point cloud acquisition, necessitating filtering as a fundamental task within the realm of 3D vision. Existing learning-based filtering methods hav…
GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation
Zhaoyang Lyu, Ben Fei, Jinyi Wang +4
Mesh is a fundamental representation of 3D assets in various industrial applications, and is widely supported by professional softwares. However, due to its irregular structure, me…
Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
Jingyi Xu, Weidong Yang, Lingdong Kong +4
Unsupervised domain adaptation (UDA) is vital for alleviating the workload of labeling 3D point cloud data and mitigating the absence of labels when facing a newly defined domain.…
3D Gaussian as a New Era: A Survey
Ben Fei, Jingyi Xu, Rui Zhang +3
3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without th…
Topology-Aware Latent Diffusion for 3D Shape Generation
Jiangbei Hu, Ben Fei, Baixin Xu +6
We introduce a new generative model that combines latent diffusion with persistent homology to create 3D shapes with high diversity, with a special emphasis on their topological ch…