Author

Tiantian Yang

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Preprint Aug 2026

VARPose: Flexible 2D Pose Densification via Visual Autoregressive Modeling for Enhanced 3D Lifting

A Granularity-agnostic Pose Tokenizer (GPT), which employs a single hybrid codebook and a residual quantization strategy to encode poses of varying densities into a unified, multi-scale discrete representation, and UniSkelar, a unified autoregressive model that treats"joint density"as"scale".

Kai Pu, Tiantian Yang, Danel Zeng · 0 citations