research
∙
09/12/2023
Learning Disentangled Avatars with Hybrid 3D Representations
Tremendous efforts have been made to learn animatable and photorealistic...
share
research
∙
08/21/2023
SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
We present SCULPT, a novel 3D generative model for clothed and textured ...
research
∙
06/29/2023
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
We show, for the first time, that neural networks trained only on synthe...
research
∙
05/03/2023
AG3D: Learning to Generate 3D Avatars from 2D Image Collections
While progress in 2D generative models of human appearance has been rapi...
research
∙
12/14/2022
ECON: Explicit Clothed humans Optimized via Normal integration
The combination of deep learning, artist-curated scans, and Implicit Fun...
research
∙
10/04/2022
Capturing and Animation of Body and Clothing from Monocular Video
While recent work has shown progress on extracting clothed 3D human avat...
research
∙
09/14/2022
Neural Point-based Shape Modeling of Humans in Challenging Clothing
Parametric 3D body models like SMPL only represent minimally-clothed peo...
research
∙
07/11/2022
High-Order Coupled Fully-Connected Tensor Network Decomposition for Hyperspectral Image Super-Resolution
Hyperspectral image super-resolution addresses the problem of fusing a l...
research
∙
01/11/2022
gDNA: Towards Generative Detailed Neural Avatars
To make 3D human avatars widely available, we must be able to generate a...
research
∙
12/16/2021
ICON: Implicit Clothed humans Obtained from Normals
Current methods for learning realistic and animatable 3D clothed avatars...
research
∙
09/02/2021
The Power of Points for Modeling Humans in Clothing
Currently it requires an artist to create 3D human avatars with realisti...
research
∙
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 ...
research
∙
04/07/2021
SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
We present SCANimate, an end-to-end trainable framework that takes raw 3...
research
∙
08/10/2020
Grasping Field: Learning Implicit Representations for Human Grasps
In recent years, substantial progress has been made on robotic grasping ...
research
∙
07/31/2019
