5 citations · 13 across the 17 of their papers we have counts for
19 papers
AssemblyWorld: Rethinking 3D Assembly with General-Purpose Agents
Jiahao Zhang, Yeying Fan, Moitreya Chatterjee +5
The task of 3D assembly requires translating an understanding of parts and their relationships into precise spatial arrangements. Can pretrained general-purpose agents assemble obj…
AssemblyBench: Physics-Aware Assembly of Complex Industrial Objects
Danrui Li, Jiahao Zhang, Bernhard Egger +4
Assembling objects from parts requires understanding multimodal instructions, linking them to 3D components, and predicting physically plausible 6-DoF motions for each assembly ste…
Understanding Dynamic Compute Allocation in Recurrent Transformers
Ibraheem Muhammad Moosa, Suhas Lohit, Ye Wang +2
Token-level adaptive computation seeks to reduce inference cost by allocating more computation to harder tokens and less to easier ones. However, prior work is primarily evaluated…
LASER: Layer-wise Scale Alignment for Training-Free Streaming 4D Reconstruction
Tianye Ding, Yiming Xie, Yiqing Liang +3
Recent feed-forward reconstruction models like VGGT and achieve impressive reconstruction quality but cannot process streaming videos due to quadratic memory complexity, limi…
A Probability-guided Sampler for Neural Implicit Surface Rendering
Gonçalo Dias Pais, Valter Piedade, Moitreya Chatterjee +2
Several variants of Neural Radiance Fields (NeRFs) have significantly improved the accuracy of synthesized images and surface reconstruction of 3D scenes/objects. In all of these m…
Programmatic Video Prediction Using Large Language Models
Hao Tang, Kevin Ellis, Suhas Lohit +2
The task of estimating the world model describing the dynamics of a real world process assumes immense importance for anticipating and preparing for future outcomes. For applicatio…