Writing study: Breaking Semantic Boundaries: Distribution-Guided Semantic Exploration for Creative Generation
← CVPR 2026 oral writing corpus
Fu Feng, Yucheng Xie, Ruixiao Shi, Xu Yang, Jing Wang, Xin Geng · 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
- 10 physical pages
- Before references / appendix
- ≈ 8.13 page-equivalents
- Main figures / tables
- 8 / 4
- 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.
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 7 physical pages; 6 detected figures and 0 tables. These may include overlapping main-text material.
Located appendix only: starts on physical p.1; ≈ 6.93 page-equivalents, 6 figure labels and 0 table labels. This interval is distinct from the whole file.
Argument and organization
- Problem and mechanism
Define distribution-conditional creative generation before introducing the encoder, decoder and concept pool.
- Evaluation by generation mode
Separate class-distribution, class-pair and unconditional exploration, then style transfer and creativity assessment.
Problem, claim and contribution
The paper turns the vague goal of creativity into controllable class proportions, contrasting distribution conditioning with pairwise concept mixing.
Sections 1 and 3.1, PDF pp. 1–3 · Main paper · Additional source 2
Argument and section order
Three bold components in the method overview map directly to later subsections, giving the reader a local index before the losses.
Sections 3.1–3.4, PDF pp. 3–4 · Main paper · Additional source 2
Figures, captions and visual explanation
Page 6 stacks two method-by-condition grids: distribution percentages and class icons are printed below one grid, while paired concept names label the other. This makes the conditioning contract visible beside every result.
Figures 3–4, PDF p. 6; visual inspection · Main paper · Additional source 2
Tables, comparisons and evidence
Image–text metrics, GPT-4o ratings and a human preference study are reported separately, acknowledging that standard similarity scores do not fully capture creative novelty.
Tables 1–3 and Section 5.4, PDF pp. 7–8 · Main paper · Additional source 2
Appendix and reproducibility
The supplement exposes the GPT-4o judging rubric and human-study interface in addition to extra grids, making the subjective assessment procedure inspectable.
Supplement Sections B.1–B.2, PDF pp. 1–2; Figures 9–14 · Main paper · Additional source 2
Clarity and writing conventions
The named generation modes are reused as result headings, so the paper's promises and evidence have matching vocabulary.
Sections 3.1 and 5.1–5.3, PDF pp. 3 and 5–7 · Main paper · Additional source 2
What to reuse—and what not to infer
Transferable lesson: For subjective generation quality, pair aligned visual grids with an explicit rating rubric and distinguish machine-judge scores from human preferences.
Boundary: Class distributions are a conditioning representation, not a guarantee that a viewer perceives exact biological fractions; the tested creativity setting is narrower than unrestricted creative intelligence.
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 PDF pp. 1–10: framing, argument sequence, section organization, figure/table captions, evaluation interpretation and limitations; reference sections identified. This is a writing-focused scan, not an exhaustive technical proof or reproduction audit. Main PDF pages 3 and 6 were rendered and visually inspected.
- Appendix / supplement
- Writing-focused scan of the separate supplementary PDF, pp. 1–7, including its organization, captions, protocol/evidence detail and limitation material where present; proofs and code listings were inspected for exposition, not independently verified or executed. Supplement Sections B.1–B.2, PDF pp. 1–2; Figures 9–14. Linked video/audio demonstrations and non-PDF archive contents were not assessed.
- Visually inspected PDF pages
- 3, 6
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.