C
Christian Theobalt
Researcher at Max Planck Society
Publications - 508
Citations - 34680
Christian Theobalt is an academic researcher from Max Planck Society. The author has contributed to research in topics: Motion capture & Computer science. The author has an hindex of 89, co-authored 450 publications receiving 25487 citations. Previous affiliations of Christian Theobalt include Stanford University & Facebook.
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Implicit Filter Sparsification In Convolutional Neural Networks
TL;DR: Corollaries of selective-featurepenalization are pointed out which could also be employed as heuristics for filter pruning, leading to feature sparsity at par or better than certain explicit sparsification / pruning approaches.
Proceedings Article
VoRF: Volumetric Relightable Faces
Pramod Rao,R. MallikarjunB.,Gereon Fox,Tim Weyrich,Bernd Bickel,Hanspeter Pfister,Wojciech Matusik,Ayush Tewari,Christian Theobalt,Mohamed Elgharib +9 more
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Live Illumination Decomposition of Videos.
TL;DR: This work proposes the first approach for the decomposition of a monocular color video into direct and indirect illumination components in real-time, and solves the variational decomposition problem efficiently using a novel alternating data-parallel optimization strategy.
Posted Content
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
Tarun Yenamandra,Ayush Tewari,Florian Bernard,Hans-Peter Seidel,Mohamed Elgharib,Daniel Cremers,Christian Theobalt +6 more
TL;DR: In this article, the authors present the first deep implicit 3D morphable model (i3DMM) of full heads, which not only captures identity-specific geometry, texture, and expressions of the frontal face, but also models the entire head including hair.
Posted Content
Live Intrinsic Material Estimation
Abhimitra Meka,Maxim Maximov,Michael Zollhoefer,Avishek Chatterjee,Christian Richardt,Christian Theobalt +5 more
TL;DR: In this article, the authors propose an end-to-end approach for real-time material estimation for general object shapes that only requires a single color image as input, where specular shading, diffuse shading and mirror images are learned to separate diffuse and specular albedo.