Writing study: Radiometrically Consistent Gaussian Surfels for Inverse Rendering
← ICLR 2026 oral writing corpus
Kyu Beom Han, Jaeyoon Kim, Woo Jae Kim, Jinhwan Seo, Sung-eui Yoon · Official ICLR 2026 oral record
Figure, table and section ledger
Editorial contribution type: Learning & optimization algorithms (primary) · Architecture & representation design.
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
- 33 physical pages
- Before references / appendix
- ≈ 9.46 page-equivalents
- Main figures / tables
- 6 / 2
- Attached appendix figures / tables
- 14 / 10
- Attached appendix span
- ≈ 19.89 page-equivalents
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 | ≈ 1.45 pp. | 4.39% |
| 2 RELATED WORKS | 3 | ≈ 0.6 pp. | 1.82% |
| 3 PRELIMINARIES | 3 | ≈ 0.9 pp. | 2.73% |
| 4 METHOD | 4 | ≈ 2.95 pp. | 8.94% |
| 5 EXPERIMENTS | 7 | ≈ 2.55 pp. | 7.73% |
| 6 CONCLUSION AND FUTURE WORKS | 10 | ≈ 0.21 pp. | 0.64% |
| ACKNOWLEDGEMENTS | 10 | ≈ 0.15 pp. | 0.45% |
| REFERENCES | 10 | ≈ 3.64 pp. | 11.03% |
| APPENDIX | 14 | ≈ 0.11 pp. | 0.33% |
| A IMPLEMENTATION DETAILS | 14 | ≈ 2.17 pp. | 6.58% |
| B COMAPARISON ON RELIGHTING PERFORMANCE AND RENDERING COST | 16 | ≈ 0.29 pp. | 0.88% |
| C VISUAL COMPARISON ON ILLUMINATION COMPONENTS | 16 | ≈ 2.44 pp. | 7.39% |
| D ADDITIONAL VISUAL COMPARISON ON BENCHMARK DATASETS | 19 | ≈ 4 pp. | 12.12% |
| E EVALUATION OF INDIRECT ILLUMINATION | 23 | ≈ 3 pp. | 9.09% |
| F ABLATION STUDIES ON RADIOMETRIC CONSISTENCY | 26 | ≈ 2 pp. | 6.06% |
| G ABLATION STUDY ON HYPERPARAMETERS Ng AND Ns | 28 | ≈ 2 pp. | 6.06% |
| H ADDITIONAL ANALYSIS ON THE INITIALIZATION STRATEGY | 30 | ≈ 1 pp. | 3.03% |
| I ENVIRONMENT MAP RECONSTRUCTION ON BENCHMARK DATASETS | 31 | ≈ 1 pp. | 3.03% |
| J ADDITIONAL ANALYSIS ON FINETUNING-BASED RELIGHTING STRATEGY | 32 | ≈ 1.89 pp. | 5.73% |
All detected figure and table locations
Main text
Attached appendix
- Table 3 · p. 16
- Figure 7 · p. 17
- Figure 8 · p. 18
- Figure 9 · p. 19
- Figure 10 · p. 20
- Figure 11 · p. 21
- Figure 12 · p. 22
- Table 4 · p. 23
- Figure 13 · p. 24
- Figure 14 · p. 25
- Table 5 · p. 26
- Table 6 · p. 27
- Table 7 · p. 28
- Table 8 · p. 28
- Table 9 · p. 29
- Table 10 · p. 29
- Figure 15 · p. 29
- Table 11 · p. 30
- Figure 16 · p. 30
- Figure 17 · p. 31
- Figure 18 · p. 31
- Figure 19 · p. 32
- Figure 20 · p. 32
- Table 12 · p. 33
Argument and organization
- Unobserved-direction failure → physical consistency
Identifies the missing supervision before introducing a new residual objective.
- Principle → ray tracing → two-stage framework
Separates the conceptual constraint from its efficient implementation.
- Quality → ablation → adaptation cost
Supports both the physical explanation and the relighting speed/quality trade-off.
Problem, claim and contribution
The gap is precise: radiance trained only from camera views remains unconstrained along directions needed for indirect illumination. Related work differentiates cached radiance, learnable residual light and differentiable tracing.
Sections 1–2, pp. 1–3 · Main paper
Argument and section order
The residual is defined before Monte Carlo sampling, initialization losses and relighting; this prevents the long loss inventory from obscuring the actual new idea.
Sections 4.1–4.2, pp. 4–7 · Main paper
Figures, captions and visual explanation
Figure 2 combines a training flowchart with a small ray geometry showing why an occluded surfel receives no camera supervision. Forward/backward line styles connect the physical residual to the optimization graph.
Figure 2, p. 5 · Main paper
Tables, comparisons and evidence
Ablations detach each side of the residual and remove the initialization constraint. Appendix E adds explicitly rendered indirect-light ground truth when standard benchmarks cannot directly test the claimed mechanism.
Figure 6, p. 9; Appendix E, Table 4, p. 23 · Main paper
Appendix and reproducibility
Separate tables distinguish ray-traced PBR, PBR with adapted radiance and direct adapted-surface rasterization, alongside memory and per-frame cost; the upfront adaptation time remains a separate quantity.
Appendix B, Table 3, p. 16; Appendix J, Table 12, p. 33 · Main paper
Clarity and writing conventions
The conclusion limits the material model to dielectric surfaces. Qualitative grids preserve method columns and scene-property rows, while captions identify the particular illumination error to inspect.
Section 6, p. 10; Figures 3 and 5, pp. 8–9 · Main paper
What to reuse—and what not to infer
Transferable lesson: When proposing a physical consistency loss, visualize the missing supervision and create a direct measurement of the hidden quantity rather than relying only on final image quality.
Boundary: Sub-10-ms rendering follows per-light adaptation, not immediate arbitrary relighting. The paper has inconsistent default sampled-surfel counts (4096 in Section 5.1 versus 2048 in Appendix G); implementation reproduction should resolve this instead of silently selecting one.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-09-19
- Reading status
- Full text + selected visuals inspected
- Main text
- Pages 1–10, Sections 1–6: complete formulation, implementation, benchmark comparisons and ablations.
- Appendix / supplement
- Pages 14–33, Appendices A–J: implementation, relighting, component visualizations, new indirect-light evaluation, sampling and initialization studies.
- Visually inspected PDF pages
- 5, 16, 23, 33