Search Results for author: Thiemo Alldieck

Found 13 papers, 8 papers with code

PhoMoH: Implicit Photorealistic 3D Models of Human Heads

no code implementations14 Dec 2022 Mihai Zanfir, Thiemo Alldieck, Cristian Sminchisescu

We present PhoMoH, a neural network methodology to construct generative models of photorealistic 3D geometry and appearance of human heads including hair, beards, clothing and accessories.

Structured 3D Features for Reconstructing Relightable and Animatable Avatars

no code implementations13 Dec 2022 Enric Corona, Mihai Zanfir, Thiemo Alldieck, Eduard Gabriel Bazavan, Andrei Zanfir, Cristian Sminchisescu

We introduce Structured 3D Features, a model based on a novel implicit 3D representation that pools pixel-aligned image features onto dense 3D points sampled from a parametric, statistical human mesh surface.

3D Reconstruction Novel View Synthesis +1

Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing

no code implementations CVPR 2022 Thiemo Alldieck, Mihai Zanfir, Cristian Sminchisescu

We present PHORHUM, a novel, end-to-end trainable, deep neural network methodology for photorealistic 3D human reconstruction given just a monocular RGB image.

3D Human Reconstruction 3D Reconstruction

H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion

no code implementations NeurIPS 2021 Hongyi Xu, Thiemo Alldieck, Cristian Sminchisescu

This allows us to robustly fuse information from sparse views and generalize well beyond the poses or views observed in training.

Novel View Synthesis

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

1 code implementation ICCV 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 Translation +1

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 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 Surface Reconstruction +1

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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