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Writing study: Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Training

← CVPR 2026 oral writing corpus

Jinbo Xing, Zeyinzi Jiang, Yuxiang Tuo, Chaojie Mao, Xiaotang Gai, Xi Chen, Jingfeng Zhang, Yulin Pan, Zhen Han, Jie Xiao, Keyu Yan, Chenwei Xie, Chongyang Zhong, Kai Zhu, Tong Shen, Lianghua Huang, Yu Liu, Yujiu Yang · Official CVPR 2026 oral record

Figure, table and section ledger

Editorial contribution type: Training, objectives & optimization (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
12 physical pages
Before references / appendix
≈ 8.05 page-equivalents
Main figures / tables
8 / 3
Attached appendix figures / tables
0 / 0
Attached appendix span
Separate file recorded below; not in this PDF total
Before references / appendix: ≈ 67.08%References / intervening material: ≈ 32.92%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. Introduction2≈ 0.73 pp.6.08%
2. Related Work2≈ 0.92 pp.7.67%
3. Method3≈ 2.2 pp.18.33%
4. Experiment5≈ 2.96 pp.24.67%
5. Conclusion8≈ 0.19 pp.1.58%
References9≈ 3.95 pp.32.92%
All detected figure and table locations

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 18 physical pages; 7 detected figures and 8 tables. These may include overlapping main-text material.

    Located appendix only: starts on physical p.4; ≈ 14.23 page-equivalents, 7 figure labels and 5 table labels. This interval is distinct from the whole file.

    Detected headingPDF pageEstimated span
    10. Importantly, unlike prior benchmarks that rely on GPT-4≈ 13.28 pp.
    References18≈ 0.95 pp.

    Argument and organization

    1. 3. Method

      Separates inference architecture, decoupled optimization, and data curation.

    2. 4. Experiment

      Defines WeaverBench before interleaved/single-modality results and training/data ablations.

    Problem, claim and contribution

    The gap is producing interleaved outputs with long-range consistency, not merely accepting multimodal inputs.

    Abstract; §1 · Main paper · Additional source 2

    Argument and section order

    Inference and training have separate diagrams, avoiding a common confusion in systems with independently optimized components.

    Figures 2–3 pp. 3–4 · Main paper · Additional source 2

    Figures, captions and visual explanation

    The training diagram marks frozen and trainable modules and names their objectives; the qualitative comparison preserves alternating text and images so document-level consistency is visible.

    Figure 3 p. 4; Figure 5 p. 7 · Main paper · Additional source 2

    Tables, comparisons and evidence

    The analysis retains a commercial comparator's overall lead in one setting and distinguishes interleaved capabilities from separate understanding/generation/editing scores.

    §4.3 and Table 3 p. 7 · Main paper · Additional source 2

    Appendix and reproducibility

    Benchmark scoring prompts and tie conventions accompany extensive failure examples, including collapsed layouts and incorrect geometric reasoning.

    Supplement §§B,F; Table 4 · Main paper · Additional source 2

    Clarity and writing conventions

    The ablation section identifies its smaller 7B variant as a compute-driven choice, rather than implying identical-scale evidence.

    §4.5 p. 7 · Main paper · Additional source 2

    What to reuse—and what not to infer

    Transferable lesson: For unified generation, evaluate the composition of modalities explicitly, not just the quality of each modality separately.

    Boundary: Automated judge preferences and selected storyboards are proxies; preserve rubric, ties, model variant, and documented failure modes.

    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
    Manuscript-wide writing scan of main PDF pp. 1–8: framing, section structure, method exposition, figure/table captions, evaluation organization and conclusions; not an exhaustive technical proof audit or reproduction.
    Appendix / supplement
    Scanned 18 supplementary pages spanning benchmark categories/rubrics, judge prompts and win-rate conventions, extra task results, failures, and extended generation examples.
    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.