A Deep Learning-based 6DoF Video Synthesizing Method Using Instant-NGPs-Reference-Cited by-同舟云学术

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A Deep Learning-based 6DoF Video Synthesizing Method Using Instant-NGPs

Published:2023-12-04 Issue: Volume:27 Page:1-5
ISSN:
Container-title:2023 IEEE International Conference on Visual Communications and Image Processing (VCIP)
language:
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Author:

Choi Jaeyeol¹,Jeong Jong-Beom²,Park JunHyeong³,Ryu Eun-Seok³

Affiliation:

1. Sungkyunkwan University (SKKU),Department of Applied Artificial Intelligence,Seoul,Republic of Korea

2. Sungkyunkwan University (SKKU),Department of Computer Science Education,Seoul,Republic of Korea

3. Sungkyunkwan University (SKKU),Department of Immersive Media Engineering,Seoul,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10402600/10402106/10402618.pdf?arnumber=10402618

Reference28 articles.

1. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

2. Instant neural graphics primitives with a multiresolution hash encoding

3. An integrated 6DoF video camera and system design

4. MPEG Immersive Video Coding Standard

5. Sub‐bitstream packing based lightweight tiled streaming for 6 degree of freedom immersive video

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