activity
20172026
most citedDrag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

205 citations · 335 across the 39 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019

Neural Voice Puppetry: Audio-driven Facial Reenactment

Justus Thies, Mohamed Elgharib, Ayush Tewari +2

We present Neural Voice Puppetry, a novel approach for audio-driven facial video synthesis. Given an audio sequence of a source person or digital assistant, we generate a photo-rea…

cs.CV2019

3D Morphable Face Models -- Past, Present and Future

Bernhard Egger, William A. P. Smith, Ayush Tewari +10

In this paper, we provide a detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed. The challenges in building and applying these models, name…

cs.CV2019

Text-based Editing of Talking-head Video

Ohad Fried, Ayush Tewari, Michael Zollhöfer +7

Editing talking-head video to change the speech content or to remove filler words is challenging. We propose a novel method to edit talking-head video based on its transcript to pr…

cs.CV2019★ 7 cited

EgoFace: Egocentric Face Performance Capture and Videorealistic Reenactment

Mohamed Elgharib, Mallikarjun BR, Ayush Tewari +4

Face performance capture and reenactment techniques use multiple cameras and sensors, positioned at a distance from the face or mounted on heavy wearable devices. This limits their…

cs.CV2019

DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects

Edgar Tretschk, Ayush Tewari, Michael Zollhöfer +2

Mesh autoencoders are commonly used for dimensionality reduction, sampling and mesh modeling. We propose a general-purpose DEep MEsh Autoencoder (DEMEA) which adds a novel embedded…