HumanML3D
PulseAugur coverage of HumanML3D — every cluster mentioning HumanML3D across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New DC-Motion Framework Generates Realistic Human Motion from Text
Researchers have developed DC-Motion, a novel framework for generating human motion from text. This approach decouples semantic meaning from fine-grained physical details using a combination of discrete and continuous t…
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VideoMDM generates 3D human motion from 2D video without 3D ground truth
Researchers have developed VideoMDM, a novel diffusion-based framework for generating 3D human motion from 2D video supervision. This method trains 3D motion priors directly from 2D poses, bypassing the need for explici…
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New method converts human motion to text for LLM analysis
Researchers have developed a new method called Structured Motion Description (SMD) that converts human motion data into natural language text. This approach bypasses the need for specialized encoders by representing joi…
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New AI models generate realistic human motion with precise trajectory control
Researchers have developed new methods for generating realistic human motion that accurately follows specified trajectories and textual descriptions. One approach, CMC, uses a two-stage diffusion process to first ensure…
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New method generates stylized human motion from text using hypernetworks
Researchers have developed a novel framework for generating stylized human motions from text descriptions, addressing limitations in current text-to-motion models. Their approach utilizes a hypernetwork to dynamically a…
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New AI models generate high-quality 3D human motion in real-time
Researchers have developed new transformer-based frameworks for generating high-quality 3D human motion from text. MOGO utilizes a hierarchical vector quantization and a single-pass causal transformer for real-time gene…
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New method uses LLMs for encoder-free human motion understanding
Researchers have developed a novel method called Structured Motion Description (SMD) for understanding human motion using large language models (LLMs). Unlike previous approaches that required dedicated encoders to alig…