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Pankaj Bora

1 accepted papers

2026

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

CVPR 2026

We introduce MoLingo, a text-to-motion (T2M) model that generates realistic, lifelike human motion by denoising in a continuous latent space. Recent works perform latent space diffusion, either on the whole latent at once or auto-regressively over multiple latents. In this paper, we study how to mak

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