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.
Papers
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Proceedings Article
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
TL;DR: NeuS as mentioned in this paper proposes to represent a surface as the zero-level set of a signed distance function (SDF) and develop a new volume rendering method to train a neural SDF representation.
Journal ArticleDOI
Learning meaningful controls for fluids
TL;DR: Cmy et al. as discussed by the authors proposed a novel data-driven conditional adversarial model that solves the challenging and theoretically ill-posed problem of deriving plausible velocity fields from a single frame of a density field.
Posted Content
Deep Video Portraits
Hyeongwoo Kim,Pablo Garrido,Ayush Tewari,Weipeng Xu,Justus Thies,Matthias Nießner,Patrick Pérez,Christian Richardt,Michael Zollhöfer,Christian Theobalt +9 more
TL;DR: In this article, a generative neural network with a novel space-time architecture is proposed to transfer the full 3D head position, head rotation, face expression, eye gaze, and eye blinking from a source actor to a portrait video of a target actor.
Proceedings ArticleDOI
HDR image noise estimation for denoising tone mapped images
TL;DR: This work proposes a method for reducing noise in images created by any tone mapping operator that leverages the noise distribution of the HDR image to guide the range kernel of a cross bilateral filter that is used to denoise the tone mapped image.
HistoPyramids in Iso-Surface Extraction
TL;DR: This work extends the HistoPyramid structure to allow for stream expansion, which provides an efficient method for generating geometry directly on the GPU, even on Shader Model 3.0 and 4.0 hardware.