2 citations · 2 across the 3 of their papers we have counts for
5 papers
Drive3R: Block-wise Streaming Geometric Foundation Models for Autonomous Driving
Tianyi Yang, Haojun Yang, Jipeng Xiao +4
High-fidelity closed-loop simulation for autonomous driving increasingly relies on dense multi-view 3D reconstruction. While recent feed-forward geometric foundation models have re…
CasaMaestro: Multi-View Panoramas for House-Scale 3D Reconstruction
Yuzhou Ji, Xiaotian Yang, Zhipeng Zhang
The rise of home-deployed embodied AI systems is driving a growing need for fast, metric 3D reconstruction of residential spaces to support navigation, interaction, and long-horizo…
SurroundNEXO: Ego-Centric Metric Bridging for Spatially Consistent Geometry in Autonomous Driving
Shuai Yuan, Runxi Tang, Yuzhou Ji +8
Modern autonomous driving depends on accurate metric 3D understanding for perception, reconstruction, and planning, which in turn requires reliable multi-camera depth prediction. H…
FastVGGT: Training-Free Acceleration of Visual Geometry Transformer
You Shen, Zhipeng Zhang, Yansong Qu +4
Foundation models for 3D vision have recently demonstrated remarkable capabilities in 3D perception. However, scaling these models to long-sequence image inputs remains a significa…
Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization
You Shen, Zhipeng Zhang, Xinyang Li +4
Representing 3D scenes from multiview images is a core challenge in computer vision and graphics, which requires both precise rendering and accurate reconstruction. Recently, 3D Ga…