research
∙
05/12/2023
BlendFields: Few-Shot Example-Driven Facial Modeling
Generating faithful visualizations of human faces requires capturing bot...
share
research
∙
04/05/2023
Dynamic Point Fields
Recent years have witnessed significant progress in the field of neural ...
research
∙
03/08/2023
X-Avatar: Expressive Human Avatars
We present X-Avatar, a novel avatar model that captures the full express...
research
∙
10/05/2022
DigiFace-1M: 1 Million Digital Face Images for Face Recognition
State-of-the-art face recognition models show impressive accuracy, achie...
research
∙
08/01/2022
VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations
The recent increase in popularity of volumetric representations for scen...
research
∙
04/06/2022
3D face reconstruction with dense landmarks
Landmarks often play a key role in face analysis, but many aspects of id...
research
∙
11/29/2021
Learning to Fit Morphable Models
Fitting parametric models of human bodies, hands or faces to sparse inpu...
research
∙
03/18/2021
FastNeRF: High-Fidelity Neural Rendering at 200FPS
Recent work on Neural Radiance Fields (NeRF) showed how neural networks ...
research
∙
10/10/2020
LSMAT Least Squares Medial Axis Transform
The medial axis transform has applications in numerous fields including ...
research
∙
06/25/2020
SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans
We present SPSG, a novel approach to generate high-quality, colored 3D m...
research
∙
11/26/2019
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
We propose ViewAL, a novel active learning strategy for semantic segment...
research
∙
07/01/2019
Multiview Aggregation for Learning Category-Specific Shape Reconstruction
We investigate the problem of learning category-specific 3D surface shap...
research
∙
06/12/2019
VIPER: Volume Invariant Position-based Elastic Rods
We extend the formulation of position-based rods to include elastic volu...
research
∙
01/09/2019
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
The goal of this paper is to estimate the 6D pose and dimensions of unse...
research
∙
11/12/2018
LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering
Motivated by augmented and virtual reality applications such as telepres...
research
∙
10/29/2018
Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade
Camera pose estimation is an important problem in computer vision. Commo...
research
∙
07/24/2018
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
This paper presents StereoNet, the first end-to-end deep architecture fo...
research
∙
07/16/2018
ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems
In this paper we present ActiveStereoNet, the first deep learning soluti...
research
∙
10/28/2017
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization
Camera relocalization plays a vital role in many robotics and computer v...
research
∙
10/22/2017
Backtracking Regression Forests for Accurate Camera Relocalization
Camera relocalization plays a vital role in many robotics and computer v...
research
∙
02/09/2017
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation
Camera relocalisation is an important problem in computer vision, with a...
research
∙
03/18/2016
Learning to Navigate the Energy Landscape
In this paper, we present a novel and efficient architecture for address...
research
∙
01/10/2016
Joint Object-Material Category Segmentation from Audio-Visual Cues
It is not always possible to recognise objects and infer material proper...
research
∙
10/03/2014