9 citations · 15 across the 15 of their papers we have counts for
6 papers · 1 filter
MoSE3: Learning World-Space SE(3) at Every Pixel
Jiahuan Cheng, Zhiyi Li, Tian Xia +3
Dense 3D point tracking has been a prominent paradigm for modeling motion in dynamic scenes, but a point track is just a 3-DoF translation curve per pixel: it captures where pixels…
Honeycomb: Constant-Size Scene Memory Representation for Video World Models
Jack Wei Lun Shi, Kaichen Zhou, Haoyu Chen +6
Video world models require persistent scene memory to maintain consistency during long-horizon video generation. Existing spatial memories accumulate RGB observations or latent fea…
Structured 4D Latent Predictive Model for Robot Planning
Zhiyi Li, Peilin Wu, Xiaoshen Han +2
Video predictive models are emerging as a powerful paradigm in robotics, offering a promising path toward task generalization, long-horizon planning, and flexible decision-making.…
SceneAligner: 3D-Grounded Floorplan Localization in the Wild
Junhyeong Cho, Ruojin Cai, Hadar Averbuch-Elor
Many public buildings provide floorplans with a "you are here" indicator to help visitors orient themselves. Floorplan localization seeks to computationally replicate this capabili…
Long-tail Internet photo reconstruction
Yuan Li, Yuanbo Xiangli, Hadar Averbuch-Elor +2
Internet photo collections exhibit an extremely long-tailed distribution: a few famous landmarks are densely photographed and easily reconstructed in 3D, while most real-world site…
ArchSym: Detecting 3D-Grounded Architectural Symmetries in the Wild
Hanyu Chen, Ruojin Cai, Steve Marschner +1
Symmetry detection is a fundamental problem in computer vision, and symmetries serve as powerful priors for downstream tasks. However, existing learning-based methods for detecting…