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PU-Net: Point Cloud Upsampling Network (1801.06761v2)

Published 21 Jan 2018 in cs.CV and cs.GR

Abstract: Learning and analyzing 3D point clouds with deep networks is challenging due to the sparseness and irregularity of the data. In this paper, we present a data-driven point cloud upsampling technique. The key idea is to learn multi-level features per point and expand the point set via a multi-branch convolution unit implicitly in feature space. The expanded feature is then split to a multitude of features, which are then reconstructed to an upsampled point set. Our network is applied at a patch-level, with a joint loss function that encourages the upsampled points to remain on the underlying surface with a uniform distribution. We conduct various experiments using synthesis and scan data to evaluate our method and demonstrate its superiority over some baseline methods and an optimization-based method. Results show that our upsampled points have better uniformity and are located closer to the underlying surfaces.

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Authors (5)
  1. Lequan Yu (89 papers)
  2. Xianzhi Li (38 papers)
  3. Chi-Wing Fu (104 papers)
  4. Daniel Cohen-Or (172 papers)
  5. Pheng-Ann Heng (196 papers)
Citations (528)

Summary

Overview of \LaTeX\ Author Guidelines for CVPR Proceedings

The document entitled "\LaTeX\ Author Guidelines for CVPR Proceedings" outlines essential format specifications intended for authors preparing their manuscripts for the CVPR conference submissions. Its primary objective is to ensure uniformity and consistency across all submitted papers, encompassing both structural layout and stylistic elements.

Detailed Specifications for Manuscript Preparation

This paper provides precise instructions for authors on formatting their CVPR submissions using the \LaTeX\ document preparation system. The guidelines cover various components necessary for compliance with the conference standards. Key areas emphasized include differences in initial setup pertaining to paper dimensions and page limits; documents are confined to a maximum of eight pages excluding references, with no excess page charges applicable.

  1. Formatting Essentials:
    • Authors must strictly adhere to two-column formatting.
    • The document specifies exact dimensions for text areas and margins to facilitate a uniform presentation across different submissions.
    • Detailed instructions encompass the style and font requirements, such as the usage of Times or Times Roman for different sections.
  2. Sections and Headings:
    • The guidelines elucidate hierarchical structuring using titled sections which are expected to be numbered.
    • Emphasis is placed on maintaining consistency in font style and size across section titles to ensure clarity and coherence.
  3. Blind Review Process:
    • The paper clarifies the principles underlying anonymization during the review process, instructing authors on how to handle self-references without compromising blind review.
  4. Illustrations and Tables:
    • There is clear guidance on embedding figures and tables, ensuring they are easily interpretable when printed, considering the graphical element size and resolution.
  5. References and Citations:
    • Bibliographic references are to be listed and formatted uniformly, with each citation needing to be numerically ordered as it appears.

Practical Implications and Theoretical Considerations

The specifications delineated in this document have two significant implications. Practically, they help maintain clarity and ensure ease of readability for reviewers and readers. By standardizing submissions, the guidelines ensure each paper is assessed based on content rather than presentation discrepancies.

On a theoretical level, these guidelines reflect the evolving norms in academic publishing concerning document preparation and layout standardization. They underscore the necessity for authors in computational and vision research communities to present their work within predefined parameters that facilitate unbiased evaluation and contribute to the broader dissemination of ideas.

Future Directions

As computational technology advances, it is plausible that these guidelines may evolve with innovations in document preparation systems. The precedent set by these guidelines suggests continual adaptations to accommodate new tools and methodologies in authoring and submission processes, ensuring that they suit the dynamic requirements of the CVPR conference proceedings.

Overall, the adherence to and understanding of these guidelines are critical for authors as they navigate the submission process to high-impact conferences such as CVPR, emphasizing the need for meticulous attention to detail and consistency in scholarly presentations.