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20152021
most citedHyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

81 citations · 90 across the 3 of their papers we have counts for

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7 papers · 1 filter

cs.CV202181 cited

HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

Keunhong Park, Utkarsh Sinha, Peter Hedman +5

Neural Radiance Fields (NeRF) are able to reconstruct scenes with unprecedented fidelity, and various recent works have extended NeRF to handle dynamic scenes. A common approach to…

cs.CV2020

Nerfies: Deformable Neural Radiance Fields

Keunhong Park, Utkarsh Sinha, Jonathan T. Barron +4

We present the first method capable of photorealistically reconstructing deformable scenes using photos/videos captured casually from mobile phones. Our approach augments neural ra…

cs.CV2020

GeLaTO: Generative Latent Textured Objects

Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz +2

Accurate modeling of 3D objects exhibiting transparency, reflections and thin structures is an extremely challenging problem. Inspired by billboards and geometric proxies used in c…

cs.CV2020

State of the Art on Neural Rendering

Ayush Tewari, Ohad Fried, Justus Thies +16

Efficient rendering of photo-realistic virtual worlds is a long standing effort of computer graphics. Modern graphics techniques have succeeded in synthesizing photo-realistic imag…

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.CV20199 cited

Neural Rerendering in the Wild

Moustafa Meshry, Dan B Goldman, Sameh Khamis +4

We explore total scene capture -- recording, modeling, and rerendering a scene under varying appearance such as season and time of day. Starting from internet photos of a tourist l…