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D-NeRF: Neural Radiance Fields for Dynamic Scenes
Neural rendering techniques combining machine learning with geometric re...
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SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
We present a solution to egocentric 3D body pose estimation from monocul...
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Neural Unsigned Distance Fields for Implicit Function Learning
In this work we target a learnable output representation that allows con...
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SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results
The SHApe Recovery from Partial textured 3D scans challenge, SHARP 2020,...
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LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
We address the problem of fitting 3D human models to 3D scans of dressed...
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Implicit Feature Networks for Texture Completion from Partial 3D Data
Prior work to infer 3D texture use either texture atlases, which require...
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SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
While models of 3D clothing learned from real data exist, no method can ...
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Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction
Implicit functions represented as deep learning approximations are power...
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Unsupervised Shape and Pose Disentanglement for 3D Meshes
Parametric models of humans, faces, hands and animals have been widely u...
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Kinematic 3D Object Detection in Monocular Video
Perceiving the physical world in 3D is fundamental for self-driving appl...
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DeepCap: Monocular Human Performance Capture Using Weak Supervision
Human performance capture is a highly important computer vision problem ...
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TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
In this paper, we present TailorNet, a neural model which predicts cloth...
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The Virtual Tailor: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
In this paper, we present TailorNet, a neural model which predicts cloth...
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Learning to Transfer Texture from Clothing Images to 3D Humans
In this paper, we present a simple yet effective method to automatically...
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Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
While many works focus on 3D reconstruction from images, in this paper, ...
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360-Degree Textures of People in Clothing from a Single Image
In this paper we predict a full 3D avatar of a person from a single imag...
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Multi-Garment Net: Learning to Dress 3D People from Images
We present Multi-Garment Network (MGN), a method to predict body shape a...
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Learning to Dress 3D People in Generative Clothing
Three-dimensional human body models are widely used in the analysis of h...
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Dressing 3D Humans using a Conditional Mesh-VAE-GAN
Three-dimensional human body models are widely used in the analysis of h...
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XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera
We present a real-time approach for multi-person 3D motion capture at ov...
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Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches
Modern approaches to pose and body shape estimation have recently achiev...
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Tex2Shape: Detailed Full Human Body Geometry from a Single Image
We present a simple yet effective method to infer detailed full human bo...
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In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations
Convolutional Neural Network based approaches for monocular 3D human pos...
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AMASS: Archive of Motion Capture as Surface Shapes
Large datasets are the cornerstone of recent advances in computer vision...
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SimulCap : Single-View Human Performance Capture with Cloth Simulation
This paper proposes a new method for live free-viewpoint human performan...
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Learning to Reconstruct People in Clothing from a Single RGB Camera
We present a learning-based model to infer the personalized 3D shape of ...
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Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time
We demonstrate a novel deep neural network capable of reconstructing hum...
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ReTiCaM: Real-time Human Performance Capture from Monocular Video
We present the first real-time human performance capture approach that r...
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Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation
Direct prediction of 3D body pose and shape remains a challenge even for...
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Detailed Human Avatars from Monocular Video
We present a novel method for high detail-preserving human avatar creati...
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Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources
To study the correlation between clothing garments and body shape, we co...
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DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor
We propose DoubleFusion, a new real-time system that combines volumetric...
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Video Based Reconstruction of 3D People Models
This paper describes how to obtain accurate 3D body models and texture o...
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Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input
We propose a new efficient single-shot method for multi-person 3D pose e...
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A Generative Model of People in Clothing
We present the first image-based generative model of people in clothing ...
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Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
We address the problem of making human motion capture in the wild more p...
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Detailed, accurate, human shape estimation from clothed 3D scan sequences
We address the problem of estimating human pose and body shape from 3D s...
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