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Tarun Yenamandra

2 accepted papers

2022

Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections

AAAI 2022technical

Graph matching aims to establish correspondences between vertices of graphs such that both the node and edge attributes agree. Various learning-based methods were recently proposed for finding correspondences between image key points based on deep graph matching formulations. While these approaches…

Cited by 8SourcePDFScholar
2021

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

CVPR 2021poster

We present the first deep implicit 3D morphable model (i3DMM) of full heads. Unlike earlier morphable face models it not only captures identity-specific geometry, texture, and expressions of the frontal face, but also models the entire head, including hair. We collect a new dataset consisting of 64…

Cited by 139PDFcodeScholar