10 citations · 14 across the 8 of their papers we have counts for
6 papers · 1 filter
Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding
Liwen Liu, Weidong Yang, Lipeng Ma +1
Recent advances in multi-modal pre-training methods have shown promising effectiveness in learning 3D representations by aligning multi-modal features between 3D shapes and their c…
ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided Diffusion
Yuanyi Song, Pumeng Lyu, Ben Fei +3
Accurate reconstruction of ocean is essential for reflecting global climate dynamics and supporting marine meteorological research. Conventional methods face challenges due to spar…
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…
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.…
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Ben Fei, Zhaoyang Lyu, Liang Pan +5
Existing image restoration methods mostly leverage the posterior distribution of natural images. However, they often assume known degradation and also require supervised training,…