Writing study: RetimeGS: Continuous-Time Reconstruction of 4D Gaussian Splatting

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← CVPR 2026 oral writing corpus

Xuezhen Wang, Li Ma, Yulin Shen, Zeyu Wang, Pedro V. Sander · Official CVPR 2026 oral record

Observed writing choices, not acceptance rules. This study examines the inspected manuscript version. It does not establish why the paper was accepted or that its presentation choices should be copied unchanged.

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

≈ 8.16 page-equivalents

Main figures / tables

7 / 2

Attached appendix figures / tables

0 / 0

Attached appendix span

Separate file recorded below; not in this PDF total

Before references / appendix: ≈ 74.18%References / intervening material: ≈ 25.82%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 heading	Starts on PDF page	Estimated span	Share of entire PDF
1. Introduction	1	≈ 0.98 pp.	8.91%
2. Related Work	2	≈ 0.56 pp.	5.09%
3. Methods	3	≈ 2.88 pp.	26.18%
4. Experiments	6	≈ 2.57 pp.	23.36%
5. Conclusion	8	≈ 0.38 pp.	3.45%
References	9	≈ 2.84 pp.	25.82%

All detected figure and table locations

Main text

• Figure 1 · p. 1
• Figure 2 · p. 2
• Figure 3 · p. 4
• Table 1 · p. 6
• Figure 4 · p. 7
• Table 2 · p. 7
• Figure 5 · p. 8
• Figure 6 · p. 8
• Figure 7 · p. 8

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 4 physical pages; 3 detected figures and 5 tables. These may include overlapping main-text material.

Located appendix only: starts on physical p.1; ≈ 3.94 page-equivalents, 3 figure labels and 5 table labels. This interval is distinct from the whole file.

Detected heading	PDF page	Estimated span
Supplementary Material	1	≈ 0.02 pp.
A. Hyperparameter Settings	1	≈ 0.14 pp.
B. More Discussion of Limitations	1	≈ 0.6 pp.
C. More Experiment Results	1	≈ 3.18 pp.

• Figure 8 · p. 1
• Table 3 · p. 2
• Table 4 · p. 3
• Table 5 · p. 3
• Figure 10 · p. 3
• Figure 9 · p. 4
• Table 6 · p. 4
• Table 7 · p. 4

Argument and organization

1. Problem and contribution

   Figure 2 makes temporal overfitting concrete: fitting observed frames can still produce ghosting at an intermediate time. The introduction turns that failure into requirements for temporal support, consistency and changing visibility.

2. Argument sequence

   Representation changes are separated from the training strategy: temporal opacity and smooth trajectories precede supervision, duration/relocation and initialization. Evaluation then uses held-out intermediate frames to test the failure motivating the method.

3. Evidence and verification

   The experiment paragraph distinguishes DNA-Rendering from the captured Stage-Capture data and explains holding out every other frame for the latter. Table 1 restricts metrics to foreground regions so static background does not dominate temporal reconstruction scores.

Problem, claim and contribution

Figure 2 makes temporal overfitting concrete: fitting observed frames can still produce ghosting at an intermediate time. The introduction turns that failure into requirements for temporal support, consistency and changing visibility.

Introduction; Figure 2, PDF p.2 · Main paper · Additional source 2

Argument and section order

Representation changes are separated from the training strategy: temporal opacity and smooth trajectories precede supervision, duration/relocation and initialization. Evaluation then uses held-out intermediate frames to test the failure motivating the method.

Sections 3.1–3.3 and 4 · Main paper · Additional source 2

Figures, captions and visual explanation

The early three-frame illustration isolates the observed-versus-interpolated distinction. A later pipeline explains the continuous representation, while qualitative comparisons and ablations show the particular artifacts each design decision targets.

Figures 2–5, PDF pp.2,4,7–8 · Main paper · Additional source 2

Tables, comparisons and evidence

The experiment paragraph distinguishes DNA-Rendering from the captured Stage-Capture data and explains holding out every other frame for the latter. Table 1 restricts metrics to foreground regions so static background does not dominate temporal reconstruction scores.

Section 4.1; Table 1, PDF p.6 · Main paper · Additional source 2

Appendix and reproducibility

The supplement gives training parameters and per-scene results and explicitly discusses dependence on flow quality and difficulty at extreme temporal sparsity. Video references offer temporal evidence, but those videos are outside this writing scan.

Supplementary Sections A–C, PDF pp.1–4 · Main paper · Additional source 2

Clarity and writing conventions

The comparison prose explains why models can fit inputs yet fail the intermediate target, rather than simply announcing a better average. Captions distinguish cases with quantitative ground truth from illustrative novel-time renderings.

Sections 4.1–4.3; Figure 4 · Main paper · Additional source 2

What to reuse—and what not to infer

Transferable lesson: Use a minimal failure illustration to define the generalization axis, then hold out observations along that same axis and report metrics where the relevant motion occurs.

Boundary: Continuous-time querying does not guarantee reliable recovery from arbitrarily low frame rates; distinguish tested interpolation, qualitative extrapolation and dependence on motion estimates.

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 main PDF pp.1–8 and references pp.9–11: abstract/framing, section sequence, figure/table captions, evaluation organization and conclusions; not an exhaustive technical verification.

Appendix / supplement

Writing-oriented supplement scan: all four supplementary PDF pages covering hyperparameters, limitations and per-scene results; referenced videos not watched. Video/code assets were not executed or assessed.

Visually inspected PDF pages

2, 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.

• Official CVF open-access CVPR 2026 accepted-paper PDF · 11 pages
• Official CVF supplementary PDF · 4 pages