FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models

arXiv:2405.05216v1 Announce Type: new
Abstract: The 3D Human Pose Estimation (3D HPE) task uses 2D images or videos to predict human joint coordinates in 3D space. Despite recent advancements in deep learning-based methods, they mostly ignore the capability of coupling accessible texts and naturally feasible knowledge of humans, missing out on valuable implicit supervision to guide the 3D HPE task. Moreover, previous efforts often study this task from the perspective of the whole human body, neglecting fine-grained guidance hidden in …

arxiv cs.cv diffusion diffusion models fine-grained human prompt type via