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Found 8 papers, 0 papers with code
Gaussian2Scene: 3D Scene Representation Learning via Self-supervised Learning with 3D Gaussian Splatting
In the first stage, a dual-branch masked autoencoder learns both 2D and 3D scene representations.
IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior
Variation of Arctic sea ice has significant impacts on polar ecosystems, transporting routes, coastal communities, and global climate.
Vehicles, Pedestrians, and E-bikes: a Three-party Game at Right-turn-on-red Crossroads Revealing the Dual and Irrational Role of E-bikes that Risks Traffic Safety
The widespread use of e-bikes has facilitated short-distance travel yet led to confusion and safety problems in road traffic.
SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting
Arctic sea ice performs a vital role in global climate and has paramount impacts on both polar ecosystems and coastal communities.
IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
Variation of Arctic sea ice has significant impacts on polar ecosystems, transporting routes, coastal communities, and global climate.
GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning
3DGS utilizes multi-view rendered images as input to generate enhanced point cloud distributions and novel view images, facilitating data augmentation and cross-modal contrastive learning.
RefGaussian: Disentangling Reflections from 3D Gaussian Splatting for Realistic Rendering
3D Gaussian Splatting (3D-GS) has made a notable advancement in the field of neural rendering, 3D scene reconstruction, and novel view synthesis.
A framework for mining lifestyle profiles through multi-dimensional and high-order mobility feature clustering
Human mobility demonstrates a high degree of regularity, which facilitates the discovery of lifestyle profiles.
