works on
cross-attention 1human motion generation 1latent diffusion 1semantic alignment 1text-to-motion 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.CV2026

MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation

Yannan He, Garvita Tiwari, Xiaohan Zhang +4

MoLingo is a model that generates realistic human motion from textual descriptions by using a semantically aligned latent space and cross‑attention conditioning during diffusion.