4 papers
CRAG: Can 3D Generative Models Help 3D Assembly?
Zeyu Jiang, Sihang Li, Siqi Tan +8
Most existing 3D assembly methods treat the problem as pure pose estimation, rearranging observed parts via rigid transformations. In contrast, human assembly naturally couples str…
AH-GS: Augmented 3D Gaussian Splatting for High-Frequency Detail Representation
Chenyang Xu, XingGuo Deng, Rui Zhong
The 3D Gaussian Splatting (3D-GS) is a novel method for scene representation and view synthesis. Although Scaffold-GS achieves higher quality real-time rendering compared to the or…
GARF: Learning Generalizable 3D Reassembly for Real-World Fractures
Sihang Li, Zeyu Jiang, Grace Chen +9
3D reassembly is a challenging spatial intelligence task with broad applications across scientific domains. While large-scale synthetic datasets have fueled promising learning-base…
2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model
Zilong Guo, Yi Luo, Long Sha +4
End-to-end autonomous driving has drawn tremendous attention recently. Many works focus on using modular deep neural networks to construct the end-to-end archi-tecture. However, wh…