3D Human Reconstruction

16 papers with code • 3 benchmarks • 5 datasets

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Greatest papers with code

FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration

facebookresearch/frankmocap 13 Aug 2021

Most existing monocular 3D pose estimation approaches only focus on a single body part, neglecting the fact that the essential nuance of human motion is conveyed through a concert of subtle movements of face, hands, and body.

3D Human Reconstruction 3D Pose Estimation

FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration

facebookresearch/frankmocap 19 Aug 2020

To construct FrankMocap, we build the state-of-the-art monocular 3D "hand" motion capture method by taking the hand part of the whole body parametric model (SMPL-X).

3D Hand Pose Estimation 3D Human Reconstruction +2

Nerfies: Deformable Neural Radiance Fields

google/nerfies ICCV 2021

We present the first method capable of photorealistically reconstructing deformable scenes using photos/videos captured casually from mobile phones.

3D Human Reconstruction

Monocular Expressive Body Regression through Body-Driven Attention

vchoutas/expose ECCV 2020

To understand how people look, interact, or perform tasks, we need to quickly and accurately capture their 3D body, face, and hands together from an RGB image.

3D Face Reconstruction 3D Hand Pose Estimation +4

Coherent Reconstruction of Multiple Humans from a Single Image

JiangWenPL/multiperson CVPR 2020

Our goal is to train a single network that learns to avoid these problems and generate a coherent 3D reconstruction of all the humans in the scene.

3D Human Reconstruction 3D Pose Estimation +3

Self-supervised 3D Representation Learning of Dressed Humans from Social Media Videos

yasaminjafarian/HDNet_TikTok CVPR 2021

A key challenge of learning a visual representation for the 3D high fidelity geometry of dressed humans lies in the limited availability of the ground truth data (e. g., 3D scanned models), which results in the performance degradation of 3D human reconstruction when applying to real-world imagery.

3D Human Reconstruction Depth Estimation +2

Learning to Dress 3D People in Generative Clothing

QianliM/CAPE CVPR 2020

To our knowledge, this is the first generative model that directly dresses 3D human body meshes and generalizes to different poses.

3D Human Pose Estimation 3D Human Reconstruction +2

PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

HongwenZhang/PyMAF ICCV 2021

Regression-based methods have recently shown promising results in reconstructing human meshes from monocular images.

Ranked #15 on 3D Human Pose Estimation on 3DPW (using extra training data)

3D Human Pose Estimation 3D Human Reconstruction