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20172021
most citedDeferred Neural Rendering: Image Synthesis using Neural Textures

51 citations · 54 across the 4 of their papers we have counts for

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19 papers · 1 filter

cs.CV20201 cited

Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction

Guy Gafni, Justus Thies, Michael Zollhöfer +1

We present dynamic neural radiance fields for modeling the appearance and dynamics of a human face. Digitally modeling and reconstructing a talking human is a key building-block fo…

cs.CV2020

Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction

Aljaž Božič, Pablo Palafox, Michael Zollhöfer +3

We introduce Neural Deformation Graphs for globally-consistent deformation tracking and 3D reconstruction of non-rigid objects. Specifically, we implicitly model a deformation grap…

cs.CV2020

ID-Reveal: Identity-aware DeepFake Video Detection

Davide Cozzolino, Andreas Rössler, Justus Thies +2

A major challenge in DeepFake forgery detection is that state-of-the-art algorithms are mostly trained to detect a specific fake method. As a result, these approaches show poor gen…

cs.CV20201 cited

Face2Face: Real-time Face Capture and Reenactment of RGB Videos

Justus Thies, Michael Zollhöfer, Marc Stamminger +2

We present Face2Face, a novel approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). The source sequence is also a monocular video st…

cs.CV2020

Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition

Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies +4

Neural rendering techniques promise efficient photo-realistic image synthesis while at the same time providing rich control over scene parameters by learning the physical image for…

cs.CV2020

Neural Non-Rigid Tracking

Aljaž Božič, Pablo Palafox, Michael Zollhöfer +3

We introduce a novel, end-to-end learnable, differentiable non-rigid tracker that enables state-of-the-art non-rigid reconstruction by a learned robust optimization. Given two inpu…