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Computational Pathology Reading Roadmap

Writing study: TriFlow: Generating Artist-Like 3D Mesh Topology via Nearest-Vertex Vector Fields

← ECCV 2026 oral writing corpus

Haoxuan Li, Ziya Erkoç, Daniele Sirigatti, Vladislav Rosov, Lei Li, Angela Dai, Matthias Niessner · Official ECCV 2026 oral record

Figure, table and section ledger

Editorial contribution type: Architecture & representation (primary).

Layout extraction, not a required paper template. Counts are distinct caption labels; a multi-panel figure counts once. Section spans are estimated from heading positions, including floats and whitespace. Method and limitations.

Canonical PDF
19 physical pages
Before references / appendix
≈ 14.59 page-equivalents
Main figures / tables
7 / 3
Attached appendix figures / tables
0 / 0
Attached appendix span
No boundary detected; not assumed zero
Before references / appendix: ≈ 76.79%References / intervening material: ≈ 23.21%Estimated layout envelopes, not text/artwork area. Unresolved appendix boundaries remain within the undivided post-body material.

Extraction notes: No attached appendix boundary detected. Zero means no recognized caption, not independently verified absence.

Source-bound correction: All top-level main headings and the reference boundary checked against source PDF text; source-bound positions use physical single-column y/page-height, not a two-column reading-order surrogate. Running page-number/author titles, affiliations, numbered contribution bullets, footnotes and bibliography continuations are excluded. This linked manuscript contains no appended supplementary section; separate supplement links were not scanned.

Section-by-section lengths and source pages

The title/abstract/front matter precede the first numbered heading. A span ends at the next detected top-level heading, not at the last sentence; end-page whitespace is included. References and statements are listed separately. These are not measurements of text-only or artwork area.

Top-level headingStarts on PDF pageEstimated spanShare of entire PDF
1 Introduction2≈ 1.32 pp.6.95%
2 Related Work3≈ 1.01 pp.5.32%
3 Method4≈ 4.95 pp.26.05%
4 Experiments9≈ 5.77 pp.30.37%
5 Conclusion15≈ 0.22 pp.1.16%
Acknowledgements15≈ 0.12 pp.0.63%
References15≈ 4.41 pp.23.21%
All detected figure and table locations

Main text

Attached appendix

    No recognized caption labels.

    Argument and organization

    1. 1 Introduction; 2 Related Work

      Distinguishes geometric surface fidelity from artist-like triangle organization, explaining why a visually plausible dense surface is not the whole target.

    2. 3 Method: nearest-vertex field, flow matching, extraction and augmentation

      Defines the field before its generative model and extraction procedure, then evaluates geometry and topology with separate metrics and preferences.

    3. 4 Experiments and ablations; 5 Conclusion

      Evaluation separates Objaverse from generated out-of-distribution shapes and identifies model-judged versus human-judged topology and geometry preferences.

    Problem, claim and contribution

    Distinguishes geometric surface fidelity from artist-like triangle organization, explaining why a visually plausible dense surface is not the whole target.

    Abstract and Section 1, pp.1–3 · Main paper

    Argument and section order

    Defines the field before its generative model and extraction procedure, then evaluates geometry and topology with separate metrics and preferences.

    Sections 3–4, pp.4–14 · Main paper

    Figures, captions and visual explanation

    The three-part overview separates field encoding, conditional flow generation and mesh extraction. Qualitative comparisons use matched wireframe crops on in-domain and generated geometries.

    Figure 2, p.5; Figure 4, p.11 · Main paper

    Tables, comparisons and evidence

    Evaluation separates Objaverse from generated out-of-distribution shapes and identifies model-judged versus human-judged topology and geometry preferences.

    Tables 1–2 and Section 4.4, pp.10–12 · Main paper

    Appendix and reproducibility

    Augmentation field details, full training settings and extraction-parameter sensitivity are assigned to supplementary material; that separate source was not inspected.

    Sections 3.4 and 4.1–4.3, pp.9–10 · Main paper

    Clarity and writing conventions

    Method prose assigns each stage a distinct role and the limitations explicitly name voxelization as an obstacle to larger scenes.

    Section 3, pp.4–5; Limitations, p.14 · Main paper

    What to reuse—and what not to infer

    Transferable lesson: When generating a new representation, define it with a small local example, show conversion to the final artifact, and evaluate structure separately from appearance.

    Boundary: Perceptual VLM scores and human preferences are not the same metric; visual topology quality does not establish arbitrary mesh validity or large-scene scalability.

    Apply this lesson using the argument and evidence worksheet.

    Inspection record and sources

    Checked
    2026-10-02
    Reading status
    Writing-focused manuscript scan + selected visuals inspected
    Main text
    Writing-oriented scan across the manuscript main argument, physical PDF pp.1–15: framing and section roadmaps, method/argument explanations, figure and table captions, comparison protocols, conclusions and limitations. Selected full-page rasters were inspected. This is not exhaustive line-by-line technical reading, proof verification or experimental reproduction.
    Appendix / supplement
    Main-manuscript pointers to appendix/supplement and the reference boundary were checked. Separate supplementary PDFs were not retrieved or inspected; their contents are not included in inspected-page counts.
    Visually inspected PDF pages
    5, 11

    This is a writing-focused scan of the manuscript and the stated supplementary scope: framing, organization, visual explanation, evidence presentation and wording. It is not a line-by-line proof audit, reproduction of results or exhaustive scientific review.