Search Results for author: Thiemo Alldieck

Found 9 papers, 7 papers with code

imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose

no code implementations24 Aug 2021 Thiemo Alldieck, Hongyi Xu, Cristian Sminchisescu

We present imGHUM, the first holistic generative model of 3D human shape and articulated pose, represented as a signed distance function.

SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera

1 code implementation2 Nov 2020 Denis Tome, Thiemo Alldieck, Patrick Peluse, Gerard Pons-Moll, Lourdes Agapito, Hernan Badino, Fernando de la Torre

The quantitative evaluation, on synthetic and real-world datasets, shows that our strategy leads to substantial improvements in accuracy over state of the art egocentric approaches.

Egocentric Pose Estimation Pose Estimation

Learning to Transfer Texture from Clothing Images to 3D Humans

1 code implementation CVPR 2020 Aymen Mir, Thiemo Alldieck, Gerard Pons-Moll

In this paper, we present a simple yet effective method to automatically transfer textures of clothing images (front and back) to 3D garments worn on top SMPL, in real time.

Image-to-Image Translation Virtual Try-on

Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion

1 code implementation CVPR 2020 Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll

To solve this, we propose Implicit Feature Networks (IF-Nets), which deliver continuous outputs, can handle multiple topologies, and complete shapes for missing or sparse input data retaining the nice properties of recent learned implicit functions, but critically they can also retain detail when it is present in the input data, and can reconstruct articulated humans.

3D Object Reconstruction 3D Reconstruction +1

Tex2Shape: Detailed Full Human Body Geometry From a Single Image

1 code implementation ICCV 2019 Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor

From a partial texture, we estimate detailed normal and vector displacement maps, which can be applied to a low-resolution smooth body model to add detail and clothing.

Image-to-Image Translation

Learning to Reconstruct People in Clothing from a Single RGB Camera

1 code implementation CVPR 2019 Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll

We present a learning-based model to infer the personalized 3D shape of people from a few frames (1-8) of a monocular video in which the person is moving, in less than 10 seconds with a reconstruction accuracy of 5mm.

Detailed Human Avatars from Monocular Video

1 code implementation3 Aug 2018 Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll

We present a novel method for high detail-preserving human avatar creation from monocular video.

Video Based Reconstruction of 3D People Models

1 code implementation CVPR 2018 Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll

This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a single, monocular video in which a person is moving.

3D Reconstruction Virtual Try-on

Optical Flow-based 3D Human Motion Estimation from Monocular Video

no code implementations1 Mar 2017 Thiemo Alldieck, Marc Kassubeck, Marcus Magnor

Under the assumption that starting from an initial pose optical flow constrains subsequent human motion, we exploit flow to find temporally coherent human poses of a motion sequence.

Motion Estimation Optical Flow Estimation

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