A unified multimodal motion LLM that handles nine generation and comprehension tasks across text, audio, and single/multi-agent motion, backed by a new dataset and tokenizer.
Polarization Human Shape and Pose Dataset
1 Pith paper cite this work. Polarity classification is still indexing.
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abstract
Polarization images are known to be able to capture polarized reflected lights that preserve rich geometric cues of an object, which has motivated its recent applications in reconstructing detailed surface normal of the objects of interest. Meanwhile, inspired by the recent breakthroughs in human shape estimation from a single color image, we attempt to investigate the new question of whether the geometric cues from polarization camera could be leveraged in estimating detailed human body shapes. This has led to the curation of Polarization Human Shape and Pose Dataset (PHSPD), our home-grown polarization image dataset of various human shapes and poses.
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cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
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VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension
A unified multimodal motion LLM that handles nine generation and comprehension tasks across text, audio, and single/multi-agent motion, backed by a new dataset and tokenizer.