5 papers · 1 filter
Muskie: Multi-view Masked Image Modeling for 3D Vision Pre-training
Wenyu Li, Sidun Liu, Peng Qiao +2
We present Muskie, a native multi-view vision backbone designed for 3D vision tasks. Unlike existing models, which are frame-wise and exhibit limited multi-view consistency, Muskie…
Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention
Wenjie Hu, Sidun Liu, Peng Qiao +2
Recent advances in Transformer-based Neural Operators have enabled significant progress in data-driven solvers for Partial Differential Equations (PDEs). Most current research has…
Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction
Wenyu Li, Sidun Liu, Peng Qiao +1
Recent advances in data-driven geometric multi-view 3D reconstruction foundation models (e.g., DUSt3R) have shown remarkable performance across various 3D vision tasks, facilitated…
Regist3R: Incremental Registration with Stereo Foundation Model
Sidun Liu, Wenyu Li, Peng Qiao +1
Multi-view 3D reconstruction has remained an essential yet challenging problem in the field of computer vision. While DUSt3R and its successors have achieved breakthroughs in 3D re…
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
Zhouyu He, Peng Qiao, Rongchun Li +2
As the demands for superior agents grow, the training complexity of Deep Reinforcement Learning (DRL) becomes higher. Thus, accelerating training of DRL has become a major research…