Be Everywhere - Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples-Reference-Cited by-同舟云学术

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Be Everywhere - Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples

Published:2023-10-01 Issue: Volume: Page:7819-7828
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Chen Mingfei¹,Su Kun¹,Shlizerman Eli¹

Affiliation:

1. University of Washington,Department of Electrical & Computer Engineering

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377048.pdf?arnumber=10377048

Reference30 articles.

1. Image method for efficiently simulating small‐room acoustics

2. Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks

3. Extension of the image model to arbitrary polyhedra

4. Interactive sound propagation with bidirectional path tracing

5. Matterport3D: Learning from RGB-D Data in Indoor Environments

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