5 papers
Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching
Bowen Wen, Shaurya Dewan, Stan Birchfield
Stereo foundation models achieve strong zero-shot generalization but remain computationally prohibitive for real-time applications. Efficient stereo architectures, on the other han…
GRS: Generating Robotic Simulation Tasks from Real-World Images
Alex Zook, Fan-Yun Sun, Josef Spjut +3
We introduce GRS (Generating Robotic Simulation tasks), a system addressing real-to-sim for robotic simulations. GRS creates digital twin simulations from single RGB-D observations…
RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
Bardienus P. Duisterhof, Jan Oberst, Bowen Wen +3
3D shape completion has broad applications in robotics, digital twin reconstruction, and extended reality (XR). Although recent advances in 3D object and scene completion have achi…
SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation
Cheng-Chun Hsu, Bowen Wen, Jie Xu +5
We introduce SPOT, an object-centric imitation learning framework. The key idea is to capture each task by an object-centric representation, specifically the SE(3) object pose traj…
FoundationStereo: Zero-Shot Stereo Matching
Bowen Wen, Matthew Trepte, Joseph Aribido +3
Tremendous progress has been made in deep stereo matching to excel on benchmark datasets through per-domain fine-tuning. However, achieving strong zero-shot generalization - a hall…