Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …

Abstract 'Cultural heritage conservation'encompasses all actions and measures taken
towards the life of cultural heritage while strengthening the long-term preservation of its …

In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method with Joint-wise
reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic 3D …

Existing self-supervised 3D human pose estimation schemes have largely relied on weak
supervisions like consistency loss to guide the learning, which, inevitably, leads to inferior …

Human pose estimation from single images is a challenging problem that is typically solved
by supervised learning. Unfortunately, labeled training data does not yet exist for many …

The advances in monocular 3D human pose estimation are dominated by supervised
techniques that require large-scale 2D/3D pose annotations. Such methods often behave …

Camera captured human pose is an outcome of several sources of variation. Performance of
supervised 3D pose estimation approaches comes at the cost of dispensing with variations …

In this work, we study the ambiguity problem in the task of unsupervised 3D human pose
estimation from 2D counterpart. On one hand, without explicit annotation, the scale of 3D …

Despite the recent progress, 3D multi-person pose estimation from monocular videos is still
challenging due to the commonly encountered problem of missing information caused by …

In this paper, we decouple unsupervised human mesh recovery into the well-studied
problems of unsupervised 3D pose estimation, and human mesh recovery from estimated …