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RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs (2112.00724v1)

Published 1 Dec 2021 in cs.CV, cs.AI, and cs.GR

Abstract: Neural Radiance Fields (NeRF) have emerged as a powerful representation for the task of novel view synthesis due to their simplicity and state-of-the-art performance. Though NeRF can produce photorealistic renderings of unseen viewpoints when many input views are available, its performance drops significantly when this number is reduced. We observe that the majority of artifacts in sparse input scenarios are caused by errors in the estimated scene geometry, and by divergent behavior at the start of training. We address this by regularizing the geometry and appearance of patches rendered from unobserved viewpoints, and annealing the ray sampling space during training. We additionally use a normalizing flow model to regularize the color of unobserved viewpoints. Our model outperforms not only other methods that optimize over a single scene, but in many cases also conditional models that are extensively pre-trained on large multi-view datasets.

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Authors (6)
  1. Michael Niemeyer (29 papers)
  2. Jonathan T. Barron (89 papers)
  3. Ben Mildenhall (41 papers)
  4. Mehdi S. M. Sajjadi (28 papers)
  5. Andreas Geiger (136 papers)
  6. Noha Radwan (10 papers)
Citations (512)

Summary

Overview of the \LaTeX\ Guidelines for Author Response Paper

The paper presents detailed guidelines for authors preparing a rebuttal to reviewer comments for conference submissions, specifically in the context of the CVPR conference series. The guidelines emphasize clarity, organization, and adherence to formatting constraints, ensuring that authors effectively communicate their responses within a restricted format.

Core Guidelines and Structure

Authors receiving paper reviews have the option to submit a rebuttal to address specific issues raised by reviewers. This rebuttal is strictly limited to a one-page PDF format. The primary intention of such a rebuttal is to rectify factual inaccuracies or provide additional information explicitly requested by reviewers. Importantly, the guidelines stipulate that authors should refrain from introducing new contributions, such as novel theorems or experiments, unless solicited by the reviewers.

The guidelines explicitly instruct authors not to include new experimental results unless specifically requested. This ensures that the rebuttal remains focused on clarifying or defending the original submission rather than expanding upon it.

Formatting Specifications

The document outlines precise formatting requirements:

  • Text and Margin Requirements: All text must use a two-column layout with specified dimensions for text area, column width, and margins.
  • Font and Spacing: The main text should employ 10-point Times font, single-spaced, while figure and table captions are set in a 9-point Roman typeface.
  • Equations and References: Displayed equations must be numbered to facilitate easy reference, and bibliographical references should be listed at the end.

Furthermore, the authors are guided to maintain anonymity and avoid external links that might reveal their identity.

Graphical Elements

Authors may incorporate figures, graphs, or proofs to aid in their explanations. It is vital that these visual elements are appropriately sized and formatted to be legible in print format. The instructions encourage the use of \verb+\includegraphics+ for inserting graphics, emphasizing consistency in font sizes and line widths with the main text body.

Implications and Future Considerations

The guidelines underscore the importance of precision and conciseness in academic discourse, particularly in the context of rebuttals, which serve as a crucial part of the peer review process. By setting clear limitations and formatting rules, the guidelines aim to streamline the process, allowing authors to effectively focus their responses and contributing to the overall quality and efficiency of the review process.

Looking forward, these guidelines could influence the development of automated tools for formatting and submission adherence, facilitating a smoother review process in academic conferences. As AI and natural language processing technologies advance, future iterations of such guidelines might incorporate intelligent recommendation systems to aid authors in crafting their responses. Such tools would ensure compliance and potentially enhance the quality of academic communication.