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Implicit Gaussian Splatting with Efficient Multi-Level Tri-Plane Representation (2408.10041v2)

Published 19 Aug 2024 in cs.CV

Abstract: Recent advancements in photo-realistic novel view synthesis have been significantly driven by Gaussian Splatting (3DGS). Nevertheless, the explicit nature of 3DGS data entails considerable storage requirements, highlighting a pressing need for more efficient data representations. To address this, we present Implicit Gaussian Splatting (IGS), an innovative hybrid model that integrates explicit point clouds with implicit feature embeddings through a multi-level tri-plane architecture. This architecture features 2D feature grids at various resolutions across different levels, facilitating continuous spatial domain representation and enhancing spatial correlations among Gaussian primitives. Building upon this foundation, we introduce a level-based progressive training scheme, which incorporates explicit spatial regularization. This method capitalizes on spatial correlations to enhance both the rendering quality and the compactness of the IGS representation. Furthermore, we propose a novel compression pipeline tailored for both point clouds and 2D feature grids, considering the entropy variations across different levels. Extensive experimental evaluations demonstrate that our algorithm can deliver high-quality rendering using only a few MBs, effectively balancing storage efficiency and rendering fidelity, and yielding results that are competitive with the state-of-the-art.

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Citations (3)
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Summary

  • The inaccessibility of academic papers, exemplified by arXiv 2408.10041v2, shows the need for robust systems to ensure research outputs remain available and accessible.
  • Ensuring access requires robust platforms with data redundancy, automated backups, and collaboration among institutions and repositories for persistent availability.
  • Authors are crucial in ensuring accessibility through standardized submissions, and future AI tools may automatically detect and correct issues.

Unavailable Content: A Case for Improving Access to Academic Papers

The document referenced as (2408.10041)v2 from the arXiv repository presents an unusual circumstance in academic research—a situation where a paper's content is inaccessible due to the absence of a PDF or alternative source file. While the document lacks substantive scholarly content for review and analysis, it offers an opportunity to discuss broader implications regarding the accessibility and dissemination of academic knowledge.

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Implications for Academic Dissemination

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  2. Data Redundancy: Establishing multiple layers or systems of redundancy could be a valuable approach. For instance, integrating automatic back-ups or multiple repositories for the same document could mitigate the risks related to losing access due to technical or administrative issues.
  3. Collaborative Platforms: The academic community could benefit from more collaborative efforts among institutions, funding bodies, and repositories to create interconnected systems that maintain persistent access to scientific materials. This initiative would require the commitment of infrastructural resources and policy frameworks.
  4. Role of Authors: Authors play a critical role in ensuring their work remains accessible. Adopting more comprehensive and standardized submission protocols could prevent situations where work is rendered inaccessible due to the absence of a source file. Encouraging authors to deposit preprints and postprints, alongside proper metadata, may address this accessibility gap.

Theoretical and Practical Speculations

The scenario of an inaccessible academic paper like (2408.10041)v2 encourages a reflection on strategies to enhance the continuity of academic dialogue and knowledge development. By focusing on improving the technical and procedural aspects of research dissemination, the academic community can reinforce the foundation upon which research builds and thrives.

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In conclusion, while paper (2408.10041)v2 itself cannot contribute to academic knowledge in its current state, it highlights an essential aspect of academic publishing—the need for reliable access to research outputs. Addressing the issues of data accessibility and redundancy can facilitate a more robust and interconnected academic ecosystem, fostering further advancements in various scientific domains.

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