Writing study: AToken: A Unified Tokenizer for Vision
← CVPR 2026 oral writing corpus
Jiasen Lu, Liangchen Song, Mingze Xu, Byeongjoo Ahn, Yanjun Wang, Chen Chen, Afshin Dehghan, Yinfei Yang · 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
- 11 physical pages
- Before references / appendix
- ≈ 8.05 page-equivalents
- Main figures / tables
- 7 / 5
- 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 18 physical pages; 8 detected figures and 10 tables. These may include overlapping main-text material.
Located appendix only: starts on physical p.1; ≈ 17.4 page-equivalents, 8 figure labels and 9 table labels. This interval is distinct from the whole file.
Argument and organization
- Three obstacles to unification
Separate task, architecture-stability and modality fragmentation before proposing one latent representation.
- Representation, objective, curriculum, transfer
Move from model design through staged training to modality-specific evaluation and downstream uses.
Problem, claim and contribution
The introduction organizes fragmentation into reconstruction-versus-semantics, scaling instability and modality coverage, making unification a set of testable demands.
Introduction · Main paper · Additional source 2
Argument and section order
Representation, architecture, training objectives and curriculum receive separate subsections before downstream generation/understanding evaluation.
Sections 3.1–3.5 and 4.1–4.4 · Main paper · Additional source 2
Figures, captions and visual explanation
Figure 3 links an adversarial-training failure curve, an rFID decomposition and a controlled Gram-loss curve in one left-to-right argument.
Figure 3, PDF p. 4 · Main paper · Additional source 2
Tables, comparisons and evidence
Figure 7 keeps Base/So400m encodings consistent across four panels and training stages, exposing smaller-model degradation instead of only reporting the final large-model score.
Figure 7, PDF p. 7 · Main paper · Additional source 2
Appendix and reproducibility
Additional comparisons specify shared evaluation scripts and reproduced settings, while representation visualizations show compression/semantic-separability trade-offs.
Supplement Tables 8–15 and Figure 9, pp. 4–9 · Main paper · Additional source 2
Clarity and writing conventions
Capability coverage and quality claims are separated: Table 1 encodes modality support, while later tables evaluate downstream performance within each setting.
Table 1, PDF p. 6; Tables 2–5, p. 8 · Main paper · Additional source 2
What to reuse—and what not to infer
Transferable lesson: For a unified model, distinguish coverage from competitiveness, and make the training curriculum a first-class artifact with stage-specific failures and metrics.
Boundary: A broad capability matrix does not mean dominance on every metric; Table 3's accompanying discussion notes specialized alternatives win some long-form video benchmarks.
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
- Separate supplement pp. 1–18 scanned: related-work capability table, 3D pipeline/training curriculum, standardized evaluations, downstream tables, reconstruction/generation galleries and references.
- 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.