Search Results for author: Mugalodi Rakesh

Found 4 papers, 0 papers with code

Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery

no code implementations NeurIPS 2021 Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, R. Venkatesh Babu

Articulation-centric 2D/3D pose supervision forms the core training objective in most existing 3D human pose estimation techniques.

3D Human Pose Estimation

Appearance Consensus Driven Self-Supervised Human Mesh Recovery

no code implementations ECCV 2020 Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu

We present a self-supervised human mesh recovery framework to infer human pose and shape from monocular images in the absence of any paired supervision.

3D Pose Estimation Human Mesh Recovery

Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation

no code implementations24 Jun 2020 Jogendra Nath Kundu, Siddharth Seth, Rahul M. V, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty

However, generalizability of human pose estimation models developed using supervision on large-scale in-studio datasets remains questionable, as these models often perform unsatisfactorily on unseen in-the-wild environments.

3D Human Pose Estimation 3D Pose Estimation +2

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