Writing study: 4D Primitive-Mache: Glueing Primitives for Persistent 4D Scene Reconstruction
← CVPR 2026 oral writing corpus
Kirill Mazur, Marwan Taher, Andrew J. Davison · Official CVPR 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
- 10 physical pages
- Before references / appendix
- ≈ 8.05 page-equivalents
- Main figures / tables
- 5 / 2
- Attached appendix figures / tables
- 0 / 0
- Attached appendix span
- ≈ 1.91 page-equivalents
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 heading | Starts on PDF page | Estimated span | Share of entire PDF |
|---|---|---|---|
| 1. Introduction | 2 | ≈ 0.67 pp. | 6.7% |
| 2. Related Work | 2 | ≈ 0.71 pp. | 7.1% |
| 3. Method | 3 | ≈ 2.38 pp. | 23.8% |
| 4. Experiments | 5 | ≈ 2.48 pp. | 24.8% |
| 5. Limitations | 8 | ≈ 0.41 pp. | 4.1% |
| 6. Conclusion | 8 | ≈ 0.11 pp. | 1.1% |
| 7. Acknowledgments | 8 | ≈ 0.12 pp. | 1.2% |
| References | 9 | ≈ 0.04 pp. | 0.4% |
| A. J. Davison. CodeSLAM — learning a compact, opti- | 9 | ≈ 1.91 pp. | 19.1% |
All detected figure and table locations
Main text
Attached appendix
No recognized caption labels.
Separate source files—excluded from canonical-PDF totals
A separate author version may repeat main text and references. Whole-file lengths and counts are not extra appendix material and are never added to the canonical PDF totals. Read the study's source scope for which sections received substantive reading versus layout inspection.
Additional source 1
Separate PDF (or ZIP containing it): whole-file layout of 3 physical pages; 2 detected figures and 3 tables. These may include overlapping main-text material.
Located appendix only: starts on physical p.1; ≈ 2.94 page-equivalents, 2 figure labels and 3 table labels. This interval is distinct from the whole file.
Argument and organization
- Problem and contribution
Defines persistence as reconstructing previously observed but currently hidden regions, not merely predicting the visible surface at each frame.
- Argument sequence
Separates formulation, object representation, frontend, backend, time remapping and motion segmentation before the task-specific evaluations.
- Evidence and verification
Table 1 reports per-sequence F-score and also precision/recall, making completeness versus accuracy visible; qualitative examples retain the input video strip.
Problem, claim and contribution
Defines persistence as reconstructing previously observed but currently hidden regions, not merely predicting the visible surface at each frame.
Abstract and Introduction, pp. 1–2 · Main paper · Additional source 2
Argument and section order
Separates formulation, object representation, frontend, backend, time remapping and motion segmentation before the task-specific evaluations.
Section 3 and Sections 4.1–4.3, pp. 3–6 · Main paper · Additional source 2
Figures, captions and visual explanation
Figure 2 reuses object colors from segmentation to primitives and reconstructed scenes, distinguishing gluing observations from replaying them through time.
Figure 2, p. 4 · Main paper · Additional source 2
Tables, comparisons and evidence
Table 1 reports per-sequence F-score and also precision/recall, making completeness versus accuracy visible; qualitative examples retain the input video strip.
Table 1 and Figure 4, p. 7 · Main paper · Additional source 2
Appendix and reproducibility
The supplement provides analytical Jacobians, an optimizer-versus-budget table, a component runtime/memory breakdown and rapid-motion/re-identification failures.
Supplement Sections 3–5, Tables 3–4 and Figure 2, pp. 1–3 · Main paper · Additional source 2
Clarity and writing conventions
The limitations section names rigid-primitive assumptions and the absence of explored incremental mapping capabilities.
Section 5, p. 8 · Main paper · Additional source 2
What to reuse—and what not to infer
Transferable lesson: Define a new reconstruction property operationally, then visualize the same objects before, during and after occlusion.
Boundary: Persistent reconstruction is restricted to what was observed and the rigid-primitive model; it is not arbitrary nonrigid reconstruction or proven long-term online mapping.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-09-26
- Reading status
- Writing-focused manuscript scan + selected visuals inspected
- Main text
- Writing-oriented scan throughout Sections 1–6, PDF pp. 1–8; references pp. 9–10: abstract/framing, section sequence, figure/table captions, evaluation organization and conclusions; not an exhaustive technical verification.
- Appendix / supplement
- Writing-oriented supplement scan: Official ZIP-contained supplement Sections 1–5, pp. 1–3: frontend robustness, component ablations, analytical Jacobians, optimizer comparison, runtime and failure cases. Video/code assets were not executed or assessed.
- Visually inspected PDF pages
- 4, 7
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.