PulseAugur
EN
LIVE 09:23:20

InstantHMR enables real-time 3D human mesh recovery on mobile devices

Researchers have developed InstantHMR, an open-source system for real-time 3D human mesh recovery on mobile devices. This system is based on the Momentum Human Rig (MHR) parametric model and trained on publicly available data. InstantHMR achieves significantly faster inference times compared to existing methods, running at 5.5 ms per person on a Samsung Galaxy S23 NPU and 0.98 ms on an NVIDIA RTX 4070 GPU, while maintaining competitive accuracy. AI

IMPACT Enables real-time 3D human pose estimation on mobile devices, potentially impacting AR/VR and exergaming applications.

RANK_REASON The item describes a new open-source model release and benchmark results for computer vision. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

InstantHMR enables real-time 3D human mesh recovery on mobile devices

How we ranked this

Signal score
17 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item describes a new open-source model release and benchmark results for computer vision. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Mohamed Adjel (LAAS-GEPETTO), Kahina Chalabi (LAAS-GEPETTO), Vincent Bonnet (LAAS-GEPETTO) ·

    InstantHMR : Real-Time Human Mesh Recovery on Your Phone

    arXiv:2611.09195v1 Announce Type: new Abstract: Real-time 3D human mesh recovery from a single image on mobile devices is a challenging problem with many applications, including robotics, biomechanics, AR/VR, and exergames. Current state-of-the-art models are either too slow to r…