Rutgers University unveiled ScoreHMR, a new approach for solving inverse problems for 3D human pose and shape reconstruction, mimicking model fitting techniques, but achieving the alignment with image observation through score guidance in the latent space of a diffusion model.

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During CVPR 2024, scientists presented Score-Guided Human Mesh Recovery (ScoreHMR), a novel approach for 3D human pose and shape reconstruction. ScoreHMR utilizes a diffusion model trained to guide the alignment with image observations, solving inverse problems more effectively than traditional model fitting approaches.

New Diffusive 3D Human Recovery Approach