research
∙
04/01/2023
From Zero to Hero: Convincing with Extremely Complicated Math
Becoming a (super) hero is almost every kid's dream. During their shelte...
share
research
∙
03/17/2023
ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty
Despite their potential, markerless hand tracking technologies are not y...
research
∙
03/16/2023
NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters
Novel view synthesis using neural radiance fields (NeRF) is the state-of...
research
∙
11/29/2022
Approximating Intersections and Differences Between Statistical Shape Models
To date, the comparison of Statistical Shape Models (SSMs) is often sole...
research
∙
10/27/2022
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
3D reconstruction of deformable (or non-rigid) scenes from a set of mono...
research
∙
08/05/2022
A Lightweight Machine Learning Pipeline for LiDAR-simulation
Virtual testing is a crucial task to ensure safety in autonomous driving...
research
∙
06/07/2022
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior
Inverse rendering is an ill-posed problem. Previous work has sought to r...
research
∙
03/04/2022
Building 3D Generative Models from Minimal Data
We propose a method for constructing generative models of 3D objects fro...
research
∙
01/23/2022
Survey and Systematization of 3D Object Detection Models and Methods
This paper offers a comprehensive survey of recent developments in 3D ob...
research
∙
11/30/2021
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias
Pre-training on large-scale databases consisting of natural images and t...
research
∙
11/01/2021
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
Recent advances in generative adversarial networks (GANs) have led to re...
research
∙
09/29/2021
Identity-Expression Ambiguity in 3D Morphable Face Models
3D Morphable Models are a class of generative models commonly used to mo...
research
∙
06/17/2021
To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision
3D face reconstruction from a single image is challenging due to its ill...
research
∙
11/24/2020
Building 3D Morphable Models from a Single Scan
We propose a method for constructing generative models of 3D objects fro...
research
∙
10/25/2020
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling
Current autoencoder-based disentangled representation learning methods a...
research
∙
04/06/2020
A Morphable Face Albedo Model
In this paper, we bring together two divergent strands of research: phot...
research
∙
09/03/2019
3D Morphable Face Models – Past, Present and Future
In this paper, we provide a detailed survey of 3D Morphable Face Models ...
research
∙
07/17/2019
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators
We propose and demonstrate a joint model of anatomical shapes, image fea...
research
∙
11/19/2018
Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance
Today's most successful facial image analysis systems are based on deep ...
research
∙
02/16/2018
Training Deep Face Recognition Systems with Synthetic Data
Recent advances in deep learning have significantly increased the perfor...
research
∙
12/05/2017
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
It is unknown what kind of biases modern in the wild face datasets have ...
research
∙
09/25/2017
