Writing study: RAVEN: Erasing Invisible Watermarks via Novel View Synthesis
← CVPR 2026 oral writing corpus
Fahad Shamshad, Nils Lukas, Karthik Nandakumar · Official CVPR 2026 oral record
Figure, table and section ledger
Editorial contribution type: Empirical analysis, diagnosis & auditing (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 / 6
- Attached appendix figures / tables
- 0 / 0
- Attached appendix span
- Separate file recorded below; not in this PDF total
Extraction notes: No attached appendix boundary detected. Zero means no recognized caption, not independently verified absence.
Source-bound correction: Table 3 on physical page 7 has a side caption whose label is a separate extracted line. Raster inspection confirms Table 3 and the source coordinate of that label; there are six main tables, not five.
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.
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 5 physical pages; 4 detected figures and 1 tables. These may include overlapping main-text material.
Argument and organization
- Problem and contribution
Defines three competing goals—suppression, perceptual quality and compute—before proposing a view-synthesis interpretation.
- Argument sequence
States the threat model before partial inversion, viewpoint modulation, correspondence attention and color transfer.
- Evidence and verification
Distinguishes low detector true-positive rate from bit accuracy near chance, and reports image quality separately from removal effectiveness.
Problem, claim and contribution
Defines three competing goals—suppression, perceptual quality and compute—before proposing a view-synthesis interpretation.
Introduction and Table 1, p. 1 · Main paper · Additional source 2
Argument and section order
States the threat model before partial inversion, viewpoint modulation, correspondence attention and color transfer.
Sections 3–4, pp. 3–5 · Main paper · Additional source 2
Figures, captions and visual explanation
Figure 2 aligns full-image and zoomed comparison rows with red crop boxes; its caption explicitly warns that viewpoint shifts change some crop correspondence.
Figure 2, p. 7 · Main paper · Additional source 2
Tables, comparisons and evidence
Distinguishes low detector true-positive rate from bit accuracy near chance, and reports image quality separately from removal effectiveness.
Tables 2–4, pp. 6–7 · Main paper · Additional source 2
Appendix and reproducibility
The supplement adds quality–detectability curves and measured computational efficiency, supporting a trade-off claim rather than a single operating point.
Supplement Sections 2 and 5, pp. 1–2 · Main paper · Additional source 2
Clarity and writing conventions
Results use separate headings for removal performance and quality preservation, keeping two potentially conflicting claims legible.
Section 5.2, p. 7 · Main paper · Additional source 2
What to reuse—and what not to infer
Transferable lesson: Pair any attack or robustness score with the utility/distortion it costs, and describe alignment rules for qualitative crops.
Boundary: Introductory colored-dot ratings are qualitative summaries, not calibrated scores; preserve measured non-wins and the stated threat model.
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: Supplement Sections 1–6, pp. 1–5: baseline hyperparameters, quality/detectability curves, full DiffusionDB results, runtime and defense directions. Video/code assets were not executed or assessed.
- Visually inspected PDF pages
- 7, 1
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.
- Official CVF open-access CVPR 2026 accepted-paper PDF · 10 pages
- Official CVF supplementary PDF · 5 pages