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20122023
most citedVNect: Real-time 3D Human Pose Estimation with a Single RGB Camera

1.2k citations · 2.2k across the 48 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.CV2020

High-Fidelity Neural Human Motion Transfer from Monocular Video

Moritz Kappel, Vladislav Golyanik, Mohamed Elgharib +5

Video-based human motion transfer creates video animations of humans following a source motion. Current methods show remarkable results for tightly-clad subjects. However, the lack…

eess.IV2020★ 4 cited

HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models

Uğur Çoğalan, Mojtaba Bemana, Karol Myszkowski +2

We seek to reconstruct sharp and noise-free high-dynamic range (HDR) video from a dual-exposure sensor that records different low-dynamic range (LDR) information in different pixel…

cs.CV2020

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

Viktor Rudnev, Vladislav Golyanik, Jiayi Wang +4

3D hand pose estimation from monocular videos is a long-standing and challenging problem, which is now seeing a strong upturn. In this work, we address it for the first time using…

cs.CV2020★ 1 cited

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

Tarun Yenamandra, Ayush Tewari, Florian Bernard +4

We present the first deep implicit 3D morphable model (i3DMM) of full heads. Unlike earlier morphable face models it not only captures identity-specific geometry, texture, and expr…

cs.CV2020

Learning Complete 3D Morphable Face Models from Images and Videos

Mallikarjun B R, Ayush Tewari, Hans-Peter Seidel +2

Most 3D face reconstruction methods rely on 3D morphable models, which disentangle the space of facial deformations into identity geometry, expressions and skin reflectance. These…

cs.CV2020★ 12 cited

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

Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel +1

We suggest to represent an X-Field -a set of 2D images taken across different view, time or illumination conditions, i.e., video, light field, reflectance fields or combinations th…

cs.CV2020

Monocular Reconstruction of Neural Face Reflectance Fields

Mallikarjun B R., Ayush Tewari, Tae-Hyun Oh +7

The reflectance field of a face describes the reflectance properties responsible for complex lighting effects including diffuse, specular, inter-reflection and self shadowing. Most…

cs.CV2020

VideoForensicsHQ: Detecting High-quality Manipulated Face Videos

Gereon Fox, Wentao Liu, Hyeongwoo Kim +3

There are concerns that new approaches to the synthesis of high quality face videos may be misused to manipulate videos with malicious intent. The research community therefore deve…

cs.CV2020★ 6 cited

StyleRig: Rigging StyleGAN for 3D Control over Portrait Images

Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj +5

StyleGAN generates photorealistic portrait images of faces with eyes, teeth, hair and context (neck, shoulders, background), but lacks a rig-like control over semantic face paramet…