Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering
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By optimizing decisions and policies through interactive feedback loops, reinforcement learning has established itself as a crucial tool for training AI systems in scenarios demanding high adaptability and precision in decision-making.
“By optimizing decisions and policies through interactive feedback loops, reinforcement learning has established itself as a crucial tool for training AI systems in scenarios that demand a high degree of adaptability and precision in decision-making [184], [185].”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [185]
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McIntosh, T. R., Susnjak, T., Liu, T., Watters, P., Xu, D., Liu, D., & Halgamuge, M. N. (2025) · Technologies · doi:10.3390/technologies13020051 · Cited by 102 · see citing works
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Mixture of Mesh Experts With Random Walk Transformer Gating
Belder, A., & Tal, A. (2026) · Computer Graphics Forum · doi:10.1111/cgf.70584
- Authors
- Di Sario, F., Renzulli, R., Tartaglione, E., & Grangetto, M.
- Affiliations
- University of Turin (IT)
- Télécom Paris (FR)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Published
- 2024-11-10
- Volume
- 15141
- Pages
- 176-192
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4404199599
- Cited by
- 3
- References
- 29
- Citations by year
- 2026: 1 · 2025: 2
- FWCI
- 0.84
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by)
- HAL (submittedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Keywords
- neural radiance fields, mixture of experts, rendering quality, scene decomposition, scene reconstruction, model-agnostic framework
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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