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Xiamen University, Xiamen Univer- sity, ShanghaiTech University
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MotionMAR achieves unprecedented accuracy in human motion reconstruction from sparse data by effectively separating global trajectories from fine details.
Structured orchestration of skills, not sheer quantity, is the secret sauce for boosting LLM agent performance, with GraSP achieving remarkable efficiency gains.
Achieve artist-quality 3D meshes with autoregressive transformers by ditching coordinate-based sorting and patch-based heuristics for a triangle-strip-inspired tokenization that respects UV boundaries.
Unlock automated creation of production-ready 3D assets from untextured meshes with TAPESTRY, which generates geometrically consistent turntable videos that can be back-projected into UV textures or used to supervise neural rendering.
