activity
20242026
collaborators

5 papers

cs.CV2026

PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting

Yixiao Song, Qingyong Li, Wen Wang +1

Unsupervised point cloud segmentation is critical for embodied artificial intelligence and autonomous driving, as it mitigates the prohibitive cost of dense point-level annotations…

cs.CV2026

Co-generation of Layout and Shape from Text via Autoregressive 3D Diffusion

Zhenggang Tang, Yuehao Wang, Yuchen Fan +9

Recent text-to-scene generation approaches largely reduced the manual efforts required to create 3D scenes. However, their focus is either to generate a scene layout or to generate…

cs.CV2025

DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling

Kairun Wen, Yuzhi Huang, Runyu Chen +16

Understanding the dynamic physical world, characterized by its evolving 3D structure, real-world motion, and semantic content with textual descriptions, is crucial for human-agent…

cs.CV2024

MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds

Zhenggang Tang, Yuchen Fan, Dilin Wang +4

Recent sparse multi-view scene reconstruction advances like DUSt3R and MASt3R no longer require camera calibration and camera pose estimation. However, they only process a pair of…

cs.CV2024

Enhancing 2D Representation Learning with a 3D Prior

Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan +2

Learning robust and effective representations of visual data is a fundamental task in computer vision. Traditionally, this is achieved by training models with labeled data which ca…