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Lea Müller

7 accepted papers

2025

Estimating Body and Hand Motion in an Ego-sensed World

CVPR 2025highlight

We present EgoAllo, a system for human motion estimation from a head-mounted device. Using only egocentric SLAM poses and images, EgoAllo guides sampling from a conditional diffusion model to estimate 3D body pose, height, and hand parameters that capture a device wearer's actions in the allocentric…

Cited by 5SourcePDFScholar
2025

Pose Priors from Language Models

CVPR 2025poster

Language is often used to describe physical interaction, yet most 3D human pose estimation methods overlook this rich source of information. We bridge this gap by leveraging large multimodal models (LMMs) as priors for reconstructing contact poses, offering a scalable alternative to traditional meth…

2025

Reconstructing People, Places, and Cameras

CVPR 2025highlight

We present "Humans and Structure from Motion" (HSfM), a method for jointly reconstructing multiple human meshes, scene point clouds, and camera parameters in a metric world coordinate system from a sparse set of uncalibrated multi-view images featuring people. Our approach combines data-driven scene…

2024

Generative Proxemics: A Prior for 3D Social Interaction from Images

CVPR 2024poster

Social interaction is a fundamental aspect of human behavior and communication. The way individuals position themselves in relation to others also known as proxemics conveys social cues and affects the dynamics of social interaction. Reconstructing such interaction from images presents challenges be…

2023

3D Human Pose Estimation via Intuitive Physics

CVPR 2023poster

Estimating 3D humans from images often produces implausible bodies that lean, float, or penetrate the floor. Such methods ignore the fact that bodies are typically supported by the scene. A physics engine can be used to enforce physical plausibility, but these are not differentiable, rely on unreali…

Cited by 98SourcePDFScholar
2022

Accurate 3D Body Shape Regression Using Metric and Semantic Attributes

CVPR 2022oral

While methods that regress 3D human meshes from images have progressed rapidly, the estimated body shapes often do not capture the true human shape. This is problematic since, for many applications, accurate body shape is as important as pose. The key reason that body shape accuracy lags pose accura…

Cited by 72PDFcodeScholar
2021

SPEC: Seeing People in the Wild With an Estimated Camera

ICCV 2021poster

Due to the lack of camera parameter information for in-the-wild images, existing 3D human pose and shape (HPS) estimation methods make several simplifying assumptions: weak-perspective projection, large constant focal length, and zero camera rotation. These assumptions often do not hold and we show,…

Cited by 160PDFcodeScholar