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Michael Zollhöfer

Michael Zollhöfer

D-Index & Metrics

Computer Science

D-Index
56
Citations
16913
World Ranking
3989
National Ranking
1899

Overview

Michael Zollhöfer is a researcher affiliated with Facebook in the United States. Their work primarily spans the fields of Computer Science and Engineering, with particular focus on Computer Vision and Pattern Recognition, Computational Mechanics, and Computer Graphics and Computer-Aided Design. Their academic output includes significant contributions to these areas as demonstrated by numerous publications.

Their main research topics cover:

  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Human Pose and Action Recognition
  • Face Recognition and Analysis
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image Processing Techniques

Michael Zollhöfer has collaborated frequently with several co-authors, indicating active engagement in collaborative research. Notable frequent co-authors include:

  • Christian Theobalt
  • Ayush Tewari
  • Matthias Nießner
  • Edgar Tretschk
  • Vladislav Golyanik

Their research has been published in a variety of venues, with numerous works appearing on arXiv (Cornell University). Other frequent publication venues include:

  • ACM Transactions on Graphics
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Computer Graphics Forum
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some of their recent papers are as follows:

  • Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Advances in Neural Rendering, 2022, Computer Graphics Forum
  • MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • PIE, 2020, ACM Transactions on Graphics
  • Learning Neural Light Fields with Ray-Space Embedding, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Best Publications

  • Face2Face: Real-Time Face Capture and Reenactment of RGB Videos

    Justus Thies;Michael Zollhofer;Marc Stamminger;Christian Theobalt

  • Deferred neural rendering: image synthesis using neural textures

    Justus Thies;Michael Zollhöfer;Matthias Nießner

  • Real-time 3D reconstruction at scale using voxel hashing

    Matthias Nießner;Michael Zollhöfer;Shahram Izadi;Marc Stamminger

  • BundleFusion: real-time globally consistent 3D reconstruction using on-the-fly surface re-integration

    Angela Dai;Matthias Nießner;Michael Zollhöfer;Shahram Izadi

  • Deep video portraits

    Hyeongwoo Kim;Pablo Garrido;Ayush Tewari;Weipeng Xu

  • MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction

    Ayush Tewari;Michael Zollhofer;Hyeongwoo Kim;Pablo Garrido

  • DeepVoxels: Learning Persistent 3D Feature Embeddings

    Vincent Sitzmann;Justus Thies;Felix Heide;Matthias NieBner

  • Real-time non-rigid reconstruction using an RGB-D camera

    Michael Zollhöfer;Matthias Nießner;Shahram Izadi;Christoph Rehmann

  • Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video

    Edgar Tretschk;Ayush Tewari;Vladislav Golyanik;Michael Zollhofer

  • Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction

    Guy Gafni;Justus Thies;Michael Zollhofer;Matthias Niesner

  • Real-time expression transfer for facial reenactment

    Justus Thies;Michael Zollhöfer;Matthias Nießner;Levi Valgaerts

  • State of the Art on Neural Rendering

    Ayush Tewari;Ohad Fried;Justus Thies;Vincent Sitzmann

  • StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images

    Ayush Tewari;Mohamed Elgharib;Gaurav Bharaj;Florian Bernard

  • Face2Face: real-time face capture and reenactment of RGB videos

    Justus Thies;Michael Zollhöfer;Marc Stamminger;Christian Theobalt

  • VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction

    Matthias Innmann;Michael Zollhöfer;Matthias Nießner;Christian Theobalt

  • State of the Art on 3D Reconstruction with RGB-D Cameras

    Michael Zollhöfer;Michael Zollhöfer;Patrick Stotko;Andreas Görlitz;Christian Theobalt

  • State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications

    Michael Zollhöfer;Michael Zollhöfer;Justus Thies;Pablo Garrido;Derek Bradley

  • Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz

    Ayush Tewari;Michael Zollhofer;Pablo Garrido;Florian Bernard

  • Demo of Face2Face: real-time face capture and reenactment of RGB videos

    Justus Thies;Michael Zollhöfer;Marc Stamminger;Christian Theobalt

  • Reconstruction of Personalized 3D Face Rigs from Monocular Video

    Pablo Garrido;Michael Zollhöfer;Dan Casas;Levi Valgaerts

  • DeepVoxels: Learning Persistent 3D Feature Embeddings

    Vincent Sitzmann;Justus Thies;Felix Heide;Matthias Nießner

  • Advances in neural rendering

    A. Tewari;O. Fried;J. Thies;V. Sitzmann

Frequent Co-Authors

Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Matthias Nießner
Matthias Nießner Technical University of Munich
Justus Thies
Justus Thies Technical University of Munich
Marc Stamminger
Marc Stamminger University of Erlangen-Nuremberg
Günther Greiner
Günther Greiner University of Erlangen-Nuremberg
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Shahram Izadi
Shahram Izadi Google (United States)
Angela Dai
Angela Dai Technical University of Munich
Gordon Wetzstein
Gordon Wetzstein Stanford University

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