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World2HOSI is introduced, a multi-expert orchestration harness that generates continuous HOSI data from 3D Gaussian Splatting scenes and natural language instructions and achieves the best task completion and interaction quality on the evaluated HOSI tasks, while generating more diverse data.
Autoregressive video diffusion models have become a leading approach to real-time interactive video generation and video world modeling. However, existing methods typically allocate computation uniformly across space when generating the next video chunk, updating all patches with the same denoising schedule and number...
Generating high-quality and controllable camera motion is essential for AI-assisted cinematography, video synthesis, and 3D scene understanding. We introduce TKCAM, a Text- and Keyframe-conditioned CAMera-motion synthesis framework based on generative masked modeling. We represent camera dynamics using a 12-dimensional...
Part segmentation is a fundamental problem in computer graphics and 3D vision. Recent works have expanded 3D part segmentation beyond fixed taxonomies, but existing approaches typically only address a specific setting, such as text-guided part segmentation or point-based interaction. In this work, we argue that these s...
STAM is introduced, a dataset of motion sequences paired with spatial audio and detailed textual annotations whose rich vocabulary affords precise and nuanced specification of human motions, and MoSAT, a latent flow-matching framework for full-body motion generation jointly conditioned on natural-language intent and di...
C2Dex is presented, a video-to-dexterous-manipulation framework built around a shared interaction representation: stable object-side contacts recovered by aggregating noisy frame-wise observations in the canonical object space that serve a dual role: as trajectory-level constraints that guide reconstruction toward temp...
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