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09/06/2023
ResFields: Residual Neural Fields for Spatiotemporal Signals
Neural fields, a category of neural networks trained to represent high-f...
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05/21/2023
GMD: Controllable Human Motion Synthesis via Guided Diffusion Models
Denoising diffusion models have shown great promise in human motion synt...
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05/21/2023
Synthesizing Diverse Human Motions in 3D Indoor Scenes
We present a novel method for populating 3D indoor scenes with virtual h...
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04/12/2023
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Automatic perception of human behaviors during social interactions is cr...
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04/05/2023
Dynamic Point Fields
Recent years have witnessed significant progress in the field of neural ...
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02/02/2023
Factor Fields: A Unified Framework for Neural Fields and Beyond
We present Factor Fields, a novel framework for modeling and representin...
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12/19/2022
HARP: Personalized Hand Reconstruction from a Monocular RGB Video
We present HARP (HAnd Reconstruction and Personalization), a personalize...
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12/01/2022
3D Segmentation of Humans in Point Clouds with Synthetic Data
Segmenting humans in 3D indoor scenes has become increasingly important ...
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10/18/2022
ARAH: Animatable Volume Rendering of Articulated Human SDFs
Combining human body models with differentiable rendering has recently e...
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10/06/2022
Mask3D for 3D Semantic Instance Segmentation
Modern 3D semantic instance segmentation approaches predominantly rely o...
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09/14/2022
Neural Point-based Shape Modeling of Humans in Challenging Clothing
Parametric 3D body models like SMPL only represent minimally-clothed peo...
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07/26/2022
Compositional Human-Scene Interaction Synthesis with Semantic Control
Synthesizing natural interactions between virtual humans and their 3D en...
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06/14/2022
Accurate 3D Body Shape Regression using Metric and Semantic Attributes
While methods that regress 3D human meshes from images have progressed r...
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05/10/2022
KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints
Image-based volumetric avatars using pixel-aligned features promise gene...
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04/26/2022
Context-Aware Sequence Alignment using 4D Skeletal Augmentation
Temporal alignment of fine-grained human actions in videos is important ...
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04/14/2022
Interactive Object Segmentation in 3D Point Clouds
Deep learning depends on large amounts of labeled training data. Manual ...
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04/13/2022
COAP: Compositional Articulated Occupancy of People
We present a novel neural implicit representation for articulated human ...
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03/07/2022
Human-Aware Object Placement for Visual Environment Reconstruction
Humans are in constant contact with the world as they move through it an...
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12/19/2021
SAGA: Stochastic Whole-Body Grasping with Contact
Human grasping synthesis has numerous applications including AR/VR, vide...
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12/16/2021
The Wanderings of Odysseus in 3D Scenes
Our goal is to populate digital environments, in which the digital human...
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12/14/2021
EgoBody: Human Body Shape, Motion and Social Interactions from Head-Mounted Devices
Understanding social interactions from first-person views is crucial for...
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09/23/2021
A Skeleton-Driven Neural Occupancy Representation for Articulated Hands
We present Hand ArticuLated Occupancy (HALO), a novel representation of ...
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09/02/2021
The Power of Points for Modeling Humans in Clothing
Currently it requires an artist to create 3D human avatars with realisti...
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08/23/2021
Learning Motion Priors for 4D Human Body Capture in 3D Scenes
Recovering high-quality 3D human motion in complex scenes from monocular...
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07/01/2021
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
In natural conversation and interaction, our hands often overlap or are ...
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06/22/2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
In this paper, we aim to create generalizable and controllable neural si...
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04/16/2021
Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration
Registering point clouds of dressed humans to parametric human models is...
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04/15/2021
SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
Learning to model and reconstruct humans in clothing is challenging due ...
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04/14/2021
LEAP: Learning Articulated Occupancy of People
Substantial progress has been made on modeling rigid 3D objects using de...
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04/07/2021
On Self-Contact and Human Pose
People touch their face 23 times an hour, they cross their arms and legs...
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12/01/2020
We are More than Our Joints: Predicting how 3D Bodies Move
A key step towards understanding human behavior is the prediction of 3D ...
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11/26/2020
4D Human Body Capture from Egocentric Video via 3D Scene Grounding
To understand human daily social interaction from egocentric perspective...
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08/12/2020
Generating Person-Scene Interactions in 3D Scenes
High fidelity digital 3D environments have been proposed in recent years...
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08/10/2020
Grasping Field: Learning Implicit Representations for Human Grasps
In recent years, substantial progress has been made on robotic grasping ...
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07/31/2020
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation
Gaze estimation is a fundamental task in many applications of computer v...
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07/27/2020
Perpetual Motion: Generating Unbounded Human Motion
The modeling of human motion using machine learning methods has been wid...
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12/05/2019
Generating 3D People in Scenes without People
We present a fully-automatic system that takes a 3D scene and generates ...
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11/25/2019
Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity
We address the challenging task of anticipating human-object interaction...
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10/24/2019
Learning Multi-Human Optical Flow
The optical flow of humans is well known to be useful for the analysis o...
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08/02/2019
Learning to Train with Synthetic Humans
Neural networks need big annotated datasets for training. However, manua...
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07/31/2019
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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07/31/2019
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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06/03/2019
Low-rank Random Tensor for Bilinear Pooling
Bilinear pooling is capable of extracting high-order information from da...
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12/23/2018
End-to-end Learning for Graph Decomposition
We propose a novel end-to-end trainable framework for the graph decompos...
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12/05/2018
Local Temporal Bilinear Pooling for Fine-grained Action Parsing
Fine-grained temporal action parsing is important in many applications, ...
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04/19/2018
Part-Aligned Bilinear Representations for Person Re-identification
We propose a novel network that learns a part-aligned representation for...
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03/15/2018
Temporal Human Action Segmentation via Dynamic Clustering
We present an effective dynamic clustering algorithm for the task of tem...
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04/05/2017
Generating Descriptions with Grounded and Co-Referenced People
Learning how to generate descriptions of images or videos received major...
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12/05/2016
ArtTrack: Articulated Multi-person Tracking in the Wild
In this paper we propose an approach for articulated tracking of multipl...
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11/14/2016