Writing study: CineBrain: A Large-Scale Multi-Modal Audiovisual Brain Dataset for Brain-Conditioned Video Generation
← CVPR 2026 oral writing corpus
Jianxiong Gao, Yichang Liu, baofeng yang, Jianfeng Feng, Yanwei Fu · Official CVPR 2026 oral record
Figure, table and section ledger
Editorial contribution type: Datasets, benchmarks & measurement (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
- ≈ 8.12 page-equivalents
- Main figures / tables
- 6 / 3
- 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.
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 | 1 | ≈ 0.94 pp. | 8.55% |
| 2. Related Work | 2 | ≈ 0.95 pp. | 8.64% |
| 3. Experimental Designs and Curated Dataset | 3 | ≈ 1.47 pp. | 13.36% |
| 4. Methods | 5 | ≈ 2.12 pp. | 19.27% |
| 5. Experiments | 7 | ≈ 1.4 pp. | 12.73% |
| 6. Conclusion | 8 | ≈ 0.24 pp. | 2.18% |
| Acknowledgements | 9 | ≈ 0.07 pp. | 0.64% |
| References | 9 | ≈ 2.88 pp. | 26.18% |
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 6 physical pages; 7 detected figures and 2 tables. These may include overlapping main-text material.
Argument and organization
- 3. Experimental Designs and Curated Dataset
Documents subjects, acquisition, synchronization, preprocessing, and possible tasks.
- 4. Methods and 5. Experiments
Introduces fusion and decoding, then separates semantic from perceptual metrics.
Problem, claim and contribution
The dataset gap is multimodal stimulation plus complementary brain measurements, not simply another image decoder.
§1; Figure 1 · Main paper · Additional source 2
Argument and section order
Acquisition receives a full section before modeling; the main text specifies stimulus duration, synchronized recording, preprocessing, and temporal train/test split.
§§3.1–3.2 pp. 3–4 · Main paper · Additional source 2
Figures, captions and visual explanation
Brain-region maps tie selected signals to anatomy; the reconstruction grid uses matched temporal frames and unimodal variants as direct comparators.
Figure 3 p. 4; Figure 6 p. 7 · Main paper · Additional source 2
Tables, comparisons and evidence
Fusion structures, unimodal baselines, and auditory-ROI inclusion are evaluated separately, with semantic and perceptual metric families distinguished.
Table 2 p. 5; Table 3 p. 8 · Main paper · Additional source 2
Appendix and reproducibility
The supplement supplies prompts, electrode layout, per-subject tables, and longer sequences rather than relying only on the most attractive main-page examples.
Supplement pp. 1–5 · Main paper · Additional source 2
Clarity and writing conventions
The methods caption labels a training-only component, preventing inference readers from mistaking aligned targets for available test inputs.
Figure 5 caption p. 6 · Main paper · Additional source 2
What to reuse—and what not to infer
Transferable lesson: For a dataset-plus-baseline paper, give acquisition and split design equal explanatory priority to architecture and generated examples.
Boundary: Per-subject examples do not alone establish unseen-subject transfer; inspect the actual training protocol. Do not repeat the supplement's apparent EEG/fMRI resolution wording reversal.
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 six supplementary pages on ROIs, description prompts, EEG layout, alignment ablations, per-subject results, reconstruction sequences, and stated limitations.
- 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.