Show simple item record

dc.contributor.authorBattogtokh, Munkhtulgaen_US
dc.contributor.authorBorgo, Ritaen_US
dc.contributor.editorPelechano, Nuriaen_US
dc.contributor.editorVanderhaeghe, Daviden_US
dc.description.abstractHuman body 3D reconstruction has a wide range of applications including 3D-printing, art, games, and even technical sport analysis. This is a challenging problem due to 2D ambiguity, diversity of human poses, and costs in obtaining multiple views. We propose a novel optimisation scheme that bypasses the prior bias bottleneck and the 2D-pose annotation bottleneck that we identify in single-view reconstruction, and move towards low-resource photo-realistic 3D reconstruction that directly and fully utilises the target image. Our scheme combines domain-specific method SMPLify-X and domain-agnostic inverse rendering method redner, with two simple yet powerful techniques. We demonstrate that our techniques can 1) improve the accuracy of the reconstructed body both qualitatively and quantitatively for challenging inputs, and 2) control optimisation to a selected part only. Our ideas promise extension to more difficult problems and domains even beyond human body reconstruction.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.subjectCCS Concepts: Computing methodologies --> Reconstruction; Computer vision; Rendering; Ray tracing
dc.subjectComputing methodologies
dc.subjectComputer vision
dc.subjectRay tracing
dc.titleSimple Techniques for a Novel Human Body Pose Optimisation Using Differentiable Inverse Renderingen_US
dc.description.seriesinformationEurographics 2022 - Short Papers
dc.description.sectionheadersImage and Video
dc.identifier.pages4 pages

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License