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German Barquero

4 accepted papers

2025

From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models

CVPR 2025poster

In extended reality (XR), generating full-body motion of the users is important to understand their actions, drive their virtual avatars for social interaction, and convey a realistic sense of presence. While prior works focused on spatially sparse and always-on input signals from motion controllers…

Cited by 0SourcePDFScholar
2025

MixerMDM: Learnable Composition of Human Motion Diffusion Models

CVPR 2025poster

Generating human motion guided by conditions such as textual descriptions is challenging due to the need for datasets with pairs of high-quality motion and their corresponding conditions. The difficulty increases when aiming for finer control in the generation. To that end, prior works have proposed…

Cited by 1SourcePDFScholar
2024

Seamless Human Motion Composition with Blended Positional Encodings

CVPR 2024poster

Conditional human motion generation is an important topic with many applications in virtual reality gaming and robotics. While prior works have focused on generating motion guided by text music or scenes these typically result in isolated motions confined to short durations. Instead we address the g…

2023

BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction

ICCV 2023poster

Stochastic human motion prediction (HMP) has generally been tackled with generative adversarial networks and variational autoencoders. Most prior works aim at predicting highly diverse motion in terms of the skeleton joints' dispersion. This has led to methods predicting fast and divergent movements…

Cited by 102PDFcodeScholar