Search Results - "Bolkart, Timo"

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  1. 1

    Capture, Learning, and Synthesis of 3D Speaking Styles by Cudeiro, Daniel, Bolkart, Timo, Laidlaw, Cassidy, Ranjan, Anurag, Black, Michael J.

    “…Audio-driven 3D facial animation has been widely explored, but achieving realistic, human-like performance is still unsolved. This is due to the lack of…”
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    Conference Proceeding
  2. 2

    Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision by Sanyal, Soubhik, Bolkart, Timo, Feng, Haiwen, Black, Michael J.

    “…The estimation of 3D face shape from a single image must be robust to variations in lighting, head pose, expression, facial hair, makeup, and occlusions…”
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    Conference Proceeding
  3. 3

    The neural coding of face and body orientation in occipitotemporal cortex by Foster, Celia, Zhao, Mintao, Bolkart, Timo, Black, Michael J., Bartels, Andreas, Bülthoff, Isabelle

    Published in NeuroImage (Orlando, Fla.) (01-02-2022)
    “…Face and body orientation convey important information for us to understand other people's actions, intentions and social interactions. It has been shown that…”
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    Journal Article
  4. 4

    Instant Volumetric Head Avatars by Zielonka, Wojciech, Bolkart, Timo, Thies, Justus

    “…We present Instant Volumetric Head Avatars (INSTA), a novel approach for reconstructing photo-realistic digital avatars instantaneously. INSTA models a dynamic…”
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    Conference Proceeding
  5. 5

    EMOCA: Emotion Driven Monocular Face Capture and Animation by Danecek, Radek, Black, Michael, Bolkart, Timo

    “…As 3D facial avatars become more widely used for communication, it is critical that they faithfully convey emotion. Unfortunately, the best recent methods that…”
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    Conference Proceeding
  6. 6

    3D faces in motion: Fully automatic registration and statistical analysis by Bolkart, Timo, Wuhrer, Stefanie

    Published in Computer vision and image understanding (01-02-2015)
    “…[Display omitted] •A new landmark prediction method for 3D facial motion sequence is proposed.•We fully automatically register 3D facial motion sequences.•We…”
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    Journal Article
  7. 7

    A Groupwise Multilinear Correspondence Optimization for 3D Faces by Bolkart, Timo, Wuhrer, Stefanie

    “…Multilinear face models are widely used to model the space of human faces with expressions. For databases of 3D human faces of different identities performing…”
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    Conference Proceeding Journal Article
  8. 8

    Expressive Body Capture: 3D Hands, Face, and Body From a Single Image by Pavlakos, Georgios, Choutas, Vasileios, Ghorbani, Nima, Bolkart, Timo, Osman, Ahmed A., Tzionas, Dimitrios, Black, Michael J.

    “…To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial expression from a…”
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    Conference Proceeding
  9. 9

    A Robust Multilinear Model Learning Framework for 3D Faces by Bolkart, Timo, Wuhrer, Stefanie

    “…Multilinear models are widely used to represent the statistical variations of 3D human faces as they decouple shape changes due to identity and expression…”
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    Conference Proceeding
  10. 10

    Review of statistical shape spaces for 3D data with comparative analysis for human faces by Brunton, Alan, Salazar, Augusto, Bolkart, Timo, Wuhrer, Stefanie

    Published in Computer vision and image understanding (01-11-2014)
    “…•Extensive review of statistical shape models for 3D data fitting.•Classification of existing models and methods based on type of data and type of…”
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    Journal Article
  11. 11

    Generating Holistic 3D Human Motion from Speech by Yi, Hongwei, Liang, Hualin, Liu, Yifei, Cao, Qiong, Wen, Yandong, Bolkart, Timo, Tao, Dacheng, Black, Michael J.

    “…This work addresses the problem of generating 3D holistic body motions from human speech. Given a speech recording, we synthesize sequences of 3D body poses,…”
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    Conference Proceeding
  12. 12

    Separated and overlapping neural coding of face and body identity by Foster, Celia, Zhao, Mintao, Bolkart, Timo, Black, Michael J., Bartels, Andreas, Bülthoff, Isabelle

    Published in Human brain mapping (01-09-2021)
    “…Recognising a person's identity often relies on face and body information, and is tolerant to changes in low‐level visual input (e.g., viewpoint changes)…”
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    Journal Article
  13. 13

    Instant Multi-View Head Capture through Learnable Registration by Bolkart, Timo, Li, Tianye, Black, Michael J.

    “…Existing methods for capturing datasets of 3D heads in dense semantic correspondence are slow and commonly address the problem in two separate steps;…”
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    Conference Proceeding
  14. 14

    Topologically Consistent Multi-View Face Inference Using Volumetric Sampling by Li, Tianye, Liu, Shichen, Bolkart, Timo, Liu, Jiayi, Li, Hao, Zhao, Yajie

    “…High-fidelity face digitization solutions often combine multi-view stereo (MVS) techniques for 3D reconstruction and a non-rigid registration step to establish…”
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    Conference Proceeding
  15. 15

    Skin Tone Disentanglement in 2D Makeup Transfer With Graph Neural Networks by Mokhtari, Masoud, Dezaki, Fatemeh Taheri, Bolkart, Timo, Tesch, Betty Mohler, Suresh, Rahul, Banitalebi-Dehkordi, Amin

    “…Makeup transfer involves transferring makeup from a reference image to a target image while maintaining the target's identity. Existing methods, which use…”
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    Conference Proceeding
  16. 16
  17. 17

    Statistical Analysis of 3D Faces in Motion by Bolkart, Timo, Wuhrer, Stefanie

    “…We perform statistical analysis of 3D facial shapes in motion over different subjects and different motion sequences. For this, we represent each motion…”
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    Conference Proceeding
  18. 18

    Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency by Sanyal, Soubhik, Mohler, Betty, Vorobiov, Alex, Davis, Larry, Bolkart, Timo, Romero, Javier, Loper, Matthew, Black, Michael J.

    “…Synthesizing images of a person in novel poses from a single image is a highly ambiguous task. Most existing approaches require paired training images; i.e…”
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    Conference Proceeding
  19. 19

    Using astigmatism in wide angle HMDs to improve rendering by Pohl, Daniel, Bolkart, Timo, Nickels, Stefan, Grau, Oliver

    Published in 2015 IEEE Virtual Reality (VR) (01-03-2015)
    “…Lenses in modern consumer HMDs introduce distortions like astigmatism: only the center area of the displayed content can be perceived sharp while with…”
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    Conference Proceeding
  20. 20

    GIF: Generative Interpretable Faces by Ghosh, Partha, Gupta, Pravir Singh, Uziel, Roy, Ranjan, Anurag, Black, Michael J., Bolkart, Timo

    “…Photo-realistic visualization and animation of expressive human faces have been a long standing challenge. 3D face modeling methods provide parametric control…”
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    Conference Proceeding