Skinned Multi Person Linear Model
PulseAugur coverage of Skinned Multi Person Linear Model — every cluster mentioning Skinned Multi Person Linear Model across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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AI motion analysis for Parkinson's severity estimation ranks 3rd at ECCV2026
Researchers have developed a novel approach for estimating Parkinson's disease severity through human motion analysis, achieving third place in the MoCha Challenge at ECCV2026. Their method utilizes language-aligned mot…
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New datasets and models advance gait recognition across diverse sensors
Researchers have developed two new datasets and frameworks for gait analysis. SynthGait-19K, created by Hugging Face, is a large synthetic video dataset with over 19,000 videos and ground-truth annotations for six gait …
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YuanDian Robotics launches OpenBridge to unify humanoid robot development
YuanDian Robotics, a subsidiary of Lexiang Technology, is pioneering an open-source ecosystem for humanoid robots, aiming to solve the fragmentation issues that plague the industry. By collaborating with CMU, they have …
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New method improves 3D human mesh recovery from single images
Researchers have developed a new method called CQF-HMR for probabilistic 3D human mesh recovery from single 2D images. This approach utilizes quaternion-constrained continuous normalizing flows, which offer advantages o…
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New 3D human reconstruction method uses contrastive learning
Researchers have developed a novel feed-forward approach for reconstructing multiple people in 3D from multiple camera views, even in unconstrained environments with occlusions. This method utilizes a top-down paradigm …
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New AI method generates 3D staging from text descriptions of paintings
Researchers have developed a new method called text-to-editable 3D staging that generates human poses, lighting, and camera angles from textual descriptions. This technique was trained on over 11,000 text-staging pairs …
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New RASA framework disentangles spatial and motion priors for character animation
Researchers have developed RASA, a new framework for cross-identity character animation that disentangles spatial mapping from motion control. The system uses a two-stage process: a Spatial Prior Calibrator to align ide…
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AI models for Parkinsonian gait severity estimation show mixed results
Two research papers submitted to arXiv explore methods for assessing Parkinsonian gait severity using motion capture data. The first paper details a winning entry for the MoCha 2026 Benchmark and Challenge, which achiev…
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New benchmarks and datasets advance human motion tracking and generation
Researchers have introduced new benchmarks and datasets for evaluating human motion tracking and generation. HiPHI offers over 600 hours of high-fidelity motion data, guided by linguistic principles, to improve humanoid…
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New volumetric body model improves fetal MRI analysis with KTPolyRigid transform
Researchers have developed a new differentiable volumetric body model for medical imaging analysis, utilizing a novel Kinematic Tree-based Log-Euclidean PolyRigid (KTPolyRigid) transform. This approach addresses limitat…
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New T3HG-Editor enables text-driven 3D human garment editing
Researchers have introduced T3HG-Editor, a novel system for text-driven 3D human garment editing. This approach addresses limitations in existing 3D Gaussian Editing methods, which often produce low-fidelity and inconsi…
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Superman framework unifies human motion perception and generation
Researchers have introduced Superman, a novel framework designed to unify human motion perception and generation tasks. This system bridges the gap between understanding motion from video and generating temporal skeleto…
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Patient-specific articulated digital twins created from single CT scans
Researchers have developed a method to create patient-specific articulated digital twins from a single full-body CT scan. This technique fits a parametric human body model to establish a kinematic scaffold, then binds s…
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New framework estimates 3D human motion and kinetics from monocular video
Researchers have developed MonoMSK, a novel framework for estimating 3D human motion and kinetics from monocular video. This hybrid approach combines data-driven learning with physics-based simulation, utilizing an anat…
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PoseShield tackles human self-collision in pose estimation
Researchers have developed PoseShield, a novel method to address self-collision issues in human pose estimation and motion generation. This technique defines a neural collision constraint directly within the SMPL pose s…
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EMOSH framework disentangles motion and shape for expressive human animation
Researchers have developed EMOSH, a new framework for generating high-fidelity human animations that addresses the issue of motion-shape entanglement. EMOSH introduces an Expressive Human Model (EHM) that explicitly dis…
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TopoCap framework animates any 3D character from video
Researchers have developed TopoCap, a novel framework for generating animations from monocular video that can adapt to any skeletal structure. This system learns a universal motion manifold, disentangling motion dynamic…
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EgoPriMo framework generates humanoid robot motion from human demos
Researchers have developed EgoPriMo, a new framework for generating full-body motion for humanoid robots using egocentric human demonstrations. This system takes egocentric visual observations and text prompts to recons…
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New methods generate realistic 3D avatars from single photos
Researchers have developed two new methods for generating realistic 3D human avatars from single images. Splatshot combines 3D Gaussian Splatting with diffusion models to ensure both geometric consistency and photoreali…
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MotionPRO dataset enhances human motion capture with pressure data
Researchers have developed MotionPRO, a new dataset and methodology for human motion capture that incorporates pressure sensor data alongside traditional visual and optical sensors. This approach aims to improve the phy…