NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects Article Swipe
Dakshit Agrawal
,
Jiajie Xu
,
Siva Karthik Mustikovela
,
Ioannis Gkioulekas
,
Ashish Shrivastava
,
Yuning Chai
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2308.12560
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2308.12560
We propose a novel-view augmentation (NOVA) strategy to train NeRFs for photo-realistic 3D composition of dynamic objects in a static scene. Compared to prior work, our framework significantly reduces blending artifacts when inserting multiple dynamic objects into a 3D scene at novel views and times; achieves comparable PSNR without the need for additional ground truth modalities like optical flow; and overall provides ease, flexibility, and scalability in neural composition. Our codebase is on GitHub.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2308.12560
- https://arxiv.org/pdf/2308.12560
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386185172
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4386185172Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2308.12560Digital Object Identifier
- Title
-
NOVA: NOvel View Augmentation for Neural Composition of Dynamic ObjectsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-24Full publication date if available
- Authors
-
Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning ChaiList of authors in order
- Landing page
-
https://arxiv.org/abs/2308.12560Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2308.12560Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2308.12560Direct OA link when available
- Concepts
-
Computer science, Flexibility (engineering), Scalability, Composition (language), Work flow, Ground truth, Computer vision, Artificial intelligence, Mathematics, Engineering, Database, Linguistics, Statistics, Philosophy, Industrial engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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