Search Results for author: Bharat Lal Bhatnagar

Found 7 papers, 5 papers with code

Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes

no code implementations1 Feb 2021 Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll

The remarkable result is that with only self-supervision, ART facilitates learning a unique canonical orientation for both rigid and nonrigid shapes, which leads to a notable boost in performance of aforementioned tasks.

LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration

no code implementations NeurIPS 2020 Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll

Formulating this closed loop is not straightforward because it is not trivial to force the output of the NN to be on the surface of the human model - outside this surface the human model is not even defined.

Self-Supervised Learning

Unsupervised Shape and Pose Disentanglement for 3D Meshes

1 code implementation ECCV 2020 Keyang Zhou, Bharat Lal Bhatnagar, Gerard Pons-Moll

The experiments on datasets of 3D humans, faces, hands and animals demonstrate the generality of our approach.

Pose Transfer

SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing

1 code implementation ECCV 2020 Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll

SizerNet allows to estimate and visualize the dressing effect of a garment in various sizes, and ParserNet allows to edit clothing of an input mesh directly, removing the need for scan segmentation, which is a challenging problem in itself.

3D Human Pose Estimation

Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction

1 code implementation ECCV 2020 Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll

In this work, we present methodology that combines detail-rich implicit functions and parametric representations in order to reconstruct 3D models of people that remain controllable and accurate even in the presence of clothing.

3D Human Pose Estimation 3D Human Reconstruction

Multi-Garment Net: Learning to Dress 3D People from Images

6 code implementations ICCV 2019 Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll

We present Multi-Garment Network (MGN), a method to predict body shape and clothing, layered on top of the SMPL model from a few frames (1-8) of a video.

3D Human Pose Estimation 3D Shape Reconstruction From A Single 2D Image

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.

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