Rethinking the Truly Unsupervised Image-to-Image Translation (2006.06500v2)

Abstract: Every recent image-to-image translation model inherently requires either image-level (i.e. input-output pairs) or set-level (i.e. domain labels) supervision. However, even set-level supervision can be a severe bottleneck for data collection in practice. In this paper, we tackle image-to-image translation in a fully unsupervised setting, i.e., neither paired images nor domain labels. To this end, we propose a truly unsupervised image-to-image translation model (TUNIT) that simultaneously learns to separate image domains and translates input images into the estimated domains. Experimental results show that our model achieves comparable or even better performance than the set-level supervised model trained with full labels, generalizes well on various datasets, and is robust against the choice of hyperparameters (e.g. the preset number of pseudo domains). Furthermore, TUNIT can be easily extended to semi-supervised learning with a few labeled data.

• The paper introduces a novel framework for image-to-image translation that operates without paired data.
• It leverages advanced generative models to improve translation quality and preserve semantic consistency.
• Experimental results demonstrate significant improvements over existing unsupervised methods on benchmark datasets.

Analyzing the ICCV Author Guidelines for \LaTeX\ Submissions

The paper "LaTeX Author Guidelines for ICCV Proceedings" provides a comprehensive set of instructions and requirements for authors submitting manuscripts to the International Conference on Computer Vision (ICCV). This document primarily addresses formatting considerations and procedural guidelines, ensuring consistency and professionalism in submissions.

Core Components of the Guidelines

1. Language and Submission Policies:
   • Manuscripts must be composed in English to maintain uniformity across global submissions.
   • The document underscores dual submission policies, advising authors to consult the ICCV web page for guidelines to prevent submission overlaps with other conferences.
2. Length and Formatting Rules:
   • Authors must restrict their papers to a maximum of eight pages, excluding references. The guidelines specify that papers exceeding this limit will not be reviewed, indicating strict adherence to the prescribed formatting rules.
   • The presence of a ruler for reviewing purposes is emphasized, allowing reviewers to reference specific lines efficiently.
3. Blind Review and Anonymity:
   • The instructions delineate the expectations for anonymizing submissions to facilitate a fair blind review process. Authors are instructed on how to cite their work without compromising anonymity.
4. Mathematics and Citations:
   • Authors are urged to number all sections and equations, providing precise referential capabilities within the manuscript.
   • The citation format mandates the use of numerical order, ensuring clarity and consistency in referencing existing literature.
5. Text and Type-Style Requirements:
   • The paper specifies the use of Times Roman or equivalent, with distinct guidelines for different text elements such as titles, authors' names, and main text body. This ensures uniformity in visual presentation across all submissions.
6. Graphic and Table Considerations:
   • The treatment of figures, tables, and captions is outlined, with a focus on resolution standards suitable for print to accommodate reviewers' preferences for hardcopy assessments.
   • The paper underscores the utility of \LaTeX\ environments for embedding graphics, providing syntax for standard inclusion.
7. Final Copy and Copyright:
   • Final submission requirements include adherence to IEEE's copyright release mandates, a crucial step in enabling publication within the proceedings.

Practical and Theoretical Implications

The significance of such detailed author guidelines is underscored by their role in ensuring that submissions to ICCV are not only uniformly presented but also meet the standards expected of scholarly communication. By maintaining strict guidelines, ICCV facilitates a smoother review process and minimizes administrative overheads resulting from non-conformant submissions.

From a theoretical perspective, these guidelines implicitly reflect the evolving standards in academic publishing, particularly within the domain of computer vision. As conferences like ICCV continue to grow in prestige, the adherence to precise formatting and submission requirements signals a commitment to the dissemination of professionally vetted research.

Future Speculations in AI Conferences

Looking forward, there is potential for further advancements in submission processes, possibly incorporating AI tools to pre-validate formatting compliance before submission. Such developments could streamline the submission workflow and reduce the burden on conference administration.

In conclusion, the ICCV author guidelines for \LaTeX\ submissions are a critical component of the conference’s operational framework, underpinning the professional presentation and rigorous evaluation of cutting-edge research in computer vision.