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Found 2 papers, 1 papers with code
Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
Different from the existing methods try to obtain all the complex 3D pose, shape, and camera parameters from one coupling feature, we propose a skeleton-disentangling based framework, which divides this task into multi-level spatial and temporal granularity in a decoupling manner.
Ranked #111 on
3D Human Pose Estimation
on 3DPW
(PA-MPJPE metric, using extra
training data)
User-Curated Image Collections: Modeling and Recommendation
We then consider image collection recommendation as a dynamic similarity measurement problem in response to user's clicked image set, and employ a metric learner to measure the similarity between the image collection and the clicked image set.
