Hans-Peter Seidel

research

∙ 08/21/2023

Patternshop: Editing Point Patterns by Image Manipulation

Point patterns are characterized by their density and correlation. While...

0 Xingchang Huang, et al. ∙

research

∙ 06/01/2023

Large-Batch, Neural Multi-Objective Bayesian Optimization

Bayesian optimization provides a powerful framework for global optimizat...

0 Navid Ansari, et al. ∙

research

∙ 05/31/2023

Enhancing image quality prediction with self-supervised visual masking

Full-reference image quality metrics (FR-IQMs) aim to measure the visual...

0 Uğur Çoğalan, et al. ∙

research

∙ 04/04/2023

Neural Field Convolutions by Repeated Differentiation

Neural fields are evolving towards a general-purpose continuous represen...

0 Ntumba Elie Nsampi, et al. ∙

research

∙ 11/08/2022

Scalable multi-class sampling via filtered sliced optimal transport

We propose a multi-class point optimization formulation based on continu...

0 Corentin Salaün, et al. ∙

research

∙ 08/29/2022

Autoinverse: Uncertainty Aware Inversion of Neural Networks

Neural networks are powerful surrogates for numerous forward processes. ...

19 Navid Ansari, et al. ∙

research

∙ 06/19/2022

Video frame interpolation for high dynamic range sequences captured with dual-exposure sensors

Video frame interpolation (VFI) enables many important applications that...

11 Uğur Çoğalan, et al. ∙

research

∙ 06/14/2022

Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data

High-fidelity reconstruction of fluids from sparse multiview RGB videos ...

5 Mengyu Chu, et al. ∙

research

∙ 05/03/2022

Practical Saccade Prediction for Head-Mounted Displays: Towards a Comprehensive Model

Eye-tracking technology is an integral component of new display devices ...

0 Elena Arabadzhiyska, et al. ∙

research

∙ 02/02/2022

Eikonal Fields for Refractive Novel-View Synthesis

We tackle the problem of generating novel-view images from collections o...

7 Mojtaba Bemana, et al. ∙

research

∙ 10/25/2021

Neural Relightable Participating Media Rendering

Learning neural radiance fields of a scene has recently allowed realisti...

7 Quan Zheng, et al. ∙

research

∙ 09/27/2021

Mixed Integer Neural Inverse Design

In computational design and fabrication, neural networks are becoming im...

22 Navid Ansari, et al. ∙

research

∙ 07/07/2021

Egocentric Videoconferencing

We introduce a method for egocentric videoconferencing that enables hand...

2 Mohamed Elgharib, et al. ∙

research

∙ 07/07/2021

Self-supervised Outdoor Scene Relighting

Outdoor scene relighting is a challenging problem that requires good und...

0 Ye Yu, et al. ∙

research

∙ 05/27/2021

A Variational Loop Shrinking Analogy for Handle and Tunnel Detection and Reeb Graph Construction on Surfaces

The humble loop shrinking property played a central role in the inceptio...

0 Alexander Weinrauch, et al. ∙

research

∙ 04/30/2021

Differentiable Event Stream Simulator for Non-Rigid 3D Tracking

This paper introduces the first differentiable simulator of event stream...

1 Jalees Nehvi, et al. ∙

research

∙ 03/13/2021

PhotoApp: Photorealistic Appearance Editing of Head Portraits

Photorealistic editing of portraits is a challenging task as humans are ...

12 Mallikarjun B R., et al. ∙

research

∙ 02/13/2021

Learning Speech-driven 3D Conversational Gestures from Video

We propose the first approach to automatically and jointly synthesize bo...

5 Ikhsanul Habibie, et al. ∙

research

∙ 12/22/2020

HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models

We seek to reconstruct sharp and noise-free high-dynamic range (HDR) vid...

6 Uğur Çoğalan, et al. ∙

research

∙ 12/20/2020

High-Fidelity Neural Human Motion Transfer from Monocular Video

Video-based human motion transfer creates video animations of humans fol...

15 Moritz Kappel, et al. ∙

research

∙ 12/11/2020

EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream

3D hand pose estimation from monocular videos is a long-standing and cha...

4 Viktor Rudnev, et al. ∙

research

∙ 11/28/2020

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

We present the first deep implicit 3D morphable model (i3DMM) of full he...

5 Tarun Yenamandra, et al. ∙

research

∙ 10/04/2020

Learning Complete 3D Morphable Face Models from Images and Videos

Most 3D face reconstruction methods rely on 3D morphable models, which d...

7 Mallikarjun B R., et al. ∙

research

∙ 10/01/2020

X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation

We suggest to represent an X-Field -a set of 2D images taken across diff...

3 Mojtaba Bemana, et al. ∙

research

∙ 09/20/2020

PIE: Portrait Image Embedding for Semantic Control

Editing of portrait images is a very popular and important research topi...

1 Ayush Tewari, et al. ∙

research

∙ 08/24/2020

Monocular Reconstruction of Neural Face Reflectance Fields

The reflectance field of a face describes the reflectance properties res...

1 Mallikarjun B R., et al. ∙

research

∙ 05/20/2020

VideoForensicsHQ: Detecting High-quality Manipulated Face Videos

New approaches to synthesize and manipulate face videos at very high qua...

25 Gereon Fox, et al. ∙

research

∙ 03/31/2020

StyleRig: Rigging StyleGAN for 3D Control over Portrait Images

StyleGAN generates photorealistic portrait images of faces with eyes, te...

0 Ayush Tewari, et al. ∙

research

∙ 10/30/2019

Neural View-Interpolation for Sparse Light Field Video

We suggest representing light field (LF) videos as "one-off" neural netw...

19 Mojtaba Bemana, et al. ∙

research

∙ 10/30/2019

Neural View-Interpolation for Sparse LightField Video

We suggest representing light field (LF) videos as "one-off" neural netw...

16 Mojtaba Bemana, et al. ∙

research

∙ 09/05/2019

Neural Style-Preserving Visual Dubbing

Dubbing is a technique for translating video content from one language t...

18 Hyeongwoo Kim, et al. ∙

research

∙ 07/01/2019

XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera

We present a real-time approach for multi-person 3D motion capture at ov...

13 Dushyant Mehta, et al. ∙

research

∙ 05/26/2019

EgoFace: Egocentric Face Performance Capture and Videorealistic Reenactment

Face performance capture and reenactment techniques use multiple cameras...

3 Mohamed Elgharib, et al. ∙

research

∙ 01/17/2019

Computational Design of Lightweight Trusses

Trusses are load-carrying light-weight structures consisting of bars con...

0 Caigui Jiang, et al. ∙

research

∙ 12/18/2018

FML: Face Model Learning from Videos

Monocular image-based 3D reconstruction of faces is a long-standing prob...

30 Ayush Tewari, et al. ∙

research

∙ 12/06/2018

Deep-learning to Predict Perceived Differences to a Hidden Reference Image

Image metrics predict the perceived per-pixel difference between a refer...

0 Mojtaba Bemana, et al. ∙

research

∙ 09/17/2018

AlSub: Fully Parallel and Modular Subdivision

In recent years, mesh subdivision---the process of forging smooth free-f...

0 Daniel Mlakar, et al. ∙

research

∙ 09/17/2018

AlSub: Fully Parallel Subdivision for Modeling and Rendering

Mesh subdivision is a key geometric modeling task which forges smooth, s...

0 Daniel Mlakar, et al. ∙

research

∙ 06/18/2018

End-to-end Sampling Patterns

Sample patterns have many uses in Computer Graphics, ranging from proced...

0 Thomas Leimkühler, et al. ∙

research

∙ 06/13/2018

An intuitive control space for material appearance

Many different techniques for measuring material appearance have been pr...

0 Ana Serrano, et al. ∙

research

∙ 04/24/2018

Layered Fields for Natural Tessellations on Surfaces

Mimicking natural tessellation patterns is a fascinating multi-disciplin...

0 Rhaleb Zayer, et al. ∙

research

∙ 03/15/2018

Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera

We propose the first real-time approach for the egocentric estimation of...

0 Weipeng Xu, et al. ∙

research

∙ 08/07/2017

MonoPerfCap: Human Performance Capture from Monocular Video

We present the first marker-less approach for temporally coherent 3D per...

0 Weipeng Xu, et al. ∙

research

∙ 05/03/2017

VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera

We present the first real-time method to capture the full global 3D skel...

0 Dushyant Mehta, et al. ∙

research

∙ 12/31/2016

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras (Extended Abstract)

Marker-based and marker-less optical skeletal motion-capture methods use...

0 Helge Rhodin, et al. ∙

research

∙ 10/21/2016

Model-based Outdoor Performance Capture

We propose a new model-based method to accurately reconstruct human perf...

0 Nadia Robertini, et al. ∙

research

∙ 09/23/2016

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras

Marker-based and marker-less optical skeletal motion-capture methods use...

0 Helge Rhodin, et al. ∙

research

∙ 07/28/2016

General Automatic Human Shape and Motion Capture Using Volumetric Contour Cues

Markerless motion capture algorithms require a 3D body with properly per...

0 Helge Rhodin, et al. ∙

research

∙ 03/19/2016

Deep Shading: Convolutional Neural Networks for Screen-Space Shading

In computer vision, convolutional neural networks (CNNs) have recently a...

0 Oliver Nalbach, et al. ∙

research

∙ 02/11/2016

Real-Time Hand Tracking Using a Sum of Anisotropic Gaussians Model

Real-time marker-less hand tracking is of increasing importance in human...

0 Srinath Sridhar, et al. ∙

Hans-Peter Seidel

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