research
∙
06/15/2023
Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient
Reconstructing and relighting objects and scenes under varying lighting ...
share
research
∙
05/23/2023
NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects
Deep generative models have been recently extended to synthesizing 3D di...
research
∙
02/09/2023
MEGANE: Morphable Eyeglass and Avatar Network
Eyeglasses play an important role in the perception of identity. Authent...
research
∙
02/09/2023
RelightableHands: Efficient Neural Relighting of Articulated Hand Models
We present the first neural relighting approach for rendering high-fidel...
research
∙
07/28/2022
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images
We present Neural Strands, a novel learning framework for modeling accur...
research
∙
07/20/2022
Drivable Volumetric Avatars using Texel-Aligned Features
Photorealistic telepresence requires both high-fidelity body modeling an...
research
∙
06/30/2022
Dressing Avatars: Deep Photorealistic Appearance for Physically Simulated Clothing
Despite recent progress in developing animatable full-body avatars, real...
research
∙
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...
research
∙
04/13/2022
COAP: Compositional Articulated Occupancy of People
We present a novel neural implicit representation for articulated human ...
research
∙
03/25/2022
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling
Neural fields such as implicit surfaces have recently enabled avatar mod...
research
∙
11/22/2021
Neural Fields in Visual Computing and Beyond
Recent advances in machine learning have created increasing interest in ...
research
∙
08/17/2021
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited
We present ARCH++, an image-based method to reconstruct 3D avatars with ...
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
∙
01/07/2021
PVA: Pixel-aligned Volumetric Avatars
Acquisition and rendering of photo-realistic human heads is a highly cha...
research
∙
07/28/2020
Monocular Real-Time Volumetric Performance Capture
We present the first approach to volumetric performance capture and nove...
research
∙
04/01/2020
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
Recent advances in image-based 3D human shape estimation have been drive...
research
∙
11/02/2019
Learning to Infer Implicit Surfaces without 3D Supervision
Recent advances in 3D deep learning have shown that it is possible to tr...
research
∙
05/13/2019
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
We introduce Pixel-aligned Implicit Function (PIFu), a highly effective ...
research
∙
12/31/2018
SiCloPe: Silhouette-Based Clothed People
We introduce a new silhouette-based representation for modeling clothed ...
research
∙
12/02/2016
Photorealistic Facial Texture Inference Using Deep Neural Networks
We present a data-driven inference method that can synthesize a photorea...
research
∙
09/21/2016
Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks
We present a real-time deep learning framework for video-based facial pe...
research
∙
04/10/2016