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Writing study: HairCUP: Hair Compositional Universal Prior for 3D Gaussian Avatars

← ICCV 2025 oral writing corpus

Byungjun Kim, Shunsuke Saito, Giljoo Nam, Tomas Simon, Jason Saragih, Hanbyul Joo, Junxuan Li · Official ICCV 2025 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
11 physical pages
Before references / appendix
≈ 8.1 page-equivalents
Main figures / tables
8 / 1
Attached appendix figures / tables
0 / 0
Attached appendix span
No boundary detected; not assumed zero
Before references / appendix: ≈ 73.64%References / intervening material: ≈ 26.36%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.

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. Introduction1≈ 0.74 pp.6.73%
2. Related Work2≈ 0.63 pp.5.73%
3. Method3≈ 3.51 pp.31.91%
4. Experiments6≈ 2.05 pp.18.64%
5. Conclusion8≈ 0.23 pp.2.09%
Acknowledgments9≈ 0.06 pp.0.55%
References9≈ 2.9 pp.26.36%
All detected figure and table locations

Attached appendix

    No recognized caption labels.

    Argument and organization

    1. 1 Introduction; 2 Related Work

      Identifies entangled face/hair priors and missing paired bald captures as coupled representation/data problems.

    2. 3 Method

      Defines relightable primitives, separate identity/motion decoders, synthetic bald supervision and boundary-aware training.

    3. 4 Experiments; 5 Conclusion

      Separates unseen-identity personalization, cross-identity transfer, interpolation and qualitative anchor/boundary ablations.

    Problem, claim and contribution

    Explains why paired synthetic bald supervision is needed to make compositionality learnable from ordinary haired capture subjects.

    Abstract and Sections 1,3.3, physical pp.1–2,5 · Main paper

    Argument and section order

    The universal architecture and synthetic-data generation have separate subsections, followed by losses that distinguish composite, face-only and segmentation supervision.

    Sections 3.2–3.4, pp.3–6 · Main paper

    Figures, captions and visual explanation

    The overview keeps face and hair pathways in separate colors and explicitly labels real composite, synthetic bald and segmentation targets; its caption distinguishes same-subject training from cross-subject testing.

    Figure 2, p.4 · Main paper

    Tables, comparisons and evidence

    Personalization comparison averages eight unseen identities using front-view fully-lit head rotation; qualitative ablations separately vary anchor geometry and boundary segmentation treatment.

    Section 4.1 and Table 1, p.7; Figures 7–8, p.8 · Main paper

    Appendix and reproducibility

    The preliminaries refer readers to the inherited relightable-avatar formulation; no detailed appendix roadmap was located in the main scan. Separate supplementary material remains outside the inspected scope.

    Section 3.1, p.3; main argument through p.8 · Main paper

    Clarity and writing conventions

    The limitations name large hair motion, synthetic scalp color, fixed UV anchors and unobserved-scalp relighting as distinct unresolved cases.

    Section 5, p.8 · Main paper

    What to reuse—and what not to infer

    Transferable lesson: Draw supervision provenance alongside compositional branches and use targeted visual ablations for boundary artifacts.

    Boundary: Monocular personalization depends on a prior learned from specialized multi-camera/light captures. Synthetic bald targets are inferred rather than observed scalp truth; smooth examples do not establish complete disentanglement or arbitrary hair dynamics.

    Apply this lesson using the argument and evidence worksheet.

    Inspection record and sources

    Checked
    2026-10-07
    Reading status
    Writing-focused manuscript scan + selected visuals inspected
    Main text
    Writing-oriented scan across the main manuscript, physical PDF pp.1–8, covering framing, section progression, method explanations, captions, comparison protocols and concluding scope; reference boundary checked. Selected full-page rasters were inspected. Not exhaustive line-by-line reading, proof verification or experimental reproduction.
    Appendix / supplement
    Main-paper appendix/supplement references were checked. A separate supplementary source is linked in the inventory but was not retrieved or inspected; its contents are not included in the reading or visual-page counts.
    Visually inspected PDF pages
    4, 8

    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.