225 lines
9.4 KiB
Markdown
225 lines
9.4 KiB
Markdown
# 多方法 Qualitative 对比网格模板
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本文件用于生成"论文 qualitative results 对比网格"：
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- CV 论文：多方法分割 / 检测 / 生成结果对比
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- NLP 论文：多方法生成文本对比（截图式）
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- 3D / 重建论文：多方法重建结果对比
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- Diffusion / 图像生成论文：不同 prompt × 不同方法的网格
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- Ablation study 的视觉对比
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特征：
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- 严格的网格：行 = 样本 / 输入，列 = 方法（含 GT 和 Ours）
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- 列首行有方法名（带 citation）
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- Ours 列通常加边框 / 高亮
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- 单元格内容统一（图片 / 文本片段 / heatmap）
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- 网格之间留细 gap，整体白底
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- 可附 caption 解释
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## 适用范围
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- 论文 qualitative results section
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- Ablation study 的视觉对比
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- 顶会 supplementary 大网格图
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- 综述论文 method gallery
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- 答辩 PPT 对比页
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## 何时使用
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- 用户提到 "qualitative / 对比图 / comparison grid / methods comparison / ablation visual"
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- 用户希望「行=样本、列=方法的标准论文对比网格」
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不要使用：
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- 用户要的是「双产品消费对比」 → 用 `infographics/comparison-infographic.md`
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- 用户要的是「多人头像网格」 → 用 `avatars-and-profile/character-grid-portrait.md`
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- 用户要的是「数据图表」 → 用 `academic-figures/publication-chart.md`
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- 用户要的是「视频帧序列」 → 用 `storyboards-and-sequences/`
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## 缺失信息优先提问顺序
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1. 行数（样本数，建议 3-6 行）
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2. 列数（方法数，建议 3-6 列，含 Input/GT 和 Ours）
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3. 每列的方法名（含 citation 引用，如 "Method A [12]"）
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4. 单元格内容类型（RGB 图 / mask / heatmap / 文本片段 / 3D 渲染）
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5. 是否要 row labels（左侧标"Sample 1 / 2 / ..."或"Easy / Medium / Hard"）
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6. 是否要在某些位置加红框 zoom-in（focus area）
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7. 是否要 caption 注释
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## 主模板：Qualitative comparison grid (M rows × N cols)
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📖 描述
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整张图是严格的 M×N 网格：每一行是一个样本，每一列是一个方法。最左可加 row labels，最上一行是列首（方法名 + citation）。Ours 列加边框高亮，可在某些 cell 内画红色 zoom-in 框。
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📝 提示词
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```json
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{
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"type": "Qualitative Comparison Grid（论文级多方法多样本对比网格）",
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"goal": "生成一张可直接放进论文 qualitative results 章节的网格对比图，要求严格对齐、清晰列首、Ours 高亮、可单色印刷可读",
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"canvas": {
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"aspect_ratio": "{argument name=\"aspect_ratio\" default=\"4:3\"}",
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"background": "white #FFFFFF",
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"outer_padding": "40px"
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},
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"grid": {
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"rows": "{argument name=\"rows\" default=\"4\"}",
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"cols": "{argument name=\"cols\" default=\"5\"}",
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"cell_size_rule": "all cells identical size; gap between cells 4-6px",
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"cell_aspect": "{argument name=\"cell_aspect\" default=\"square\"}"
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},
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"headers": {
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"column_headers": {
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"enabled": true,
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"items": [
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{ "id": "C1", "label": "{argument name=\"col1_name\" default=\"Input\"}" },
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{ "id": "C2", "label": "{argument name=\"col2_name\" default=\"Method A [12]\"}" },
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{ "id": "C3", "label": "{argument name=\"col3_name\" default=\"Method B [34]\"}" },
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{ "id": "C4", "label": "{argument name=\"col4_name\" default=\"Method C [56]\"}" },
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{ "id": "C5", "label": "{argument name=\"col5_name\" default=\"Ours\"}", "highlight": true }
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],
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"style": "centered above each column, sans-serif bold 11pt, citations in smaller superscript or in [brackets]"
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},
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"row_labels": {
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"enabled": "{argument name=\"row_labels_enabled\" default=\"true\"}",
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"items": [
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"{argument name=\"row1_label\" default=\"Sample 1\"}",
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"{argument name=\"row2_label\" default=\"Sample 2\"}",
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"{argument name=\"row3_label\" default=\"Sample 3\"}",
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"{argument name=\"row4_label\" default=\"Sample 4\"}"
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],
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"style": "rotated 90° on the left margin OR placed above each row in italic 10pt"
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}
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},
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"cell_content": {
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"type": "{argument name=\"content_type\" default=\"rgb_image\"}",
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"options_explained": {
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"rgb_image": "natural images / photos",
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"segmentation_mask": "color-coded mask overlays",
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"heatmap": "viridis / jet style heatmap",
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"depth_map": "grayscale or turbo colormap",
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"text_snippet": "rendered text block in a code-like box",
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"3d_render": "rendered 3D mesh from a fixed viewpoint",
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"side_by_side": "two halves: input | result"
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},
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"consistency_rule": "all cells in the same row should depict the SAME underlying sample so the comparison is fair"
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},
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"highlights": {
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"ours_column": {
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"enabled": true,
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"style": "thicker border 1.5px in deep red / accent color (e.g. #DC2626) around each Ours cell"
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},
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"zoom_in_boxes": {
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"enabled": "{argument name=\"zoom_in_enabled\" default=\"false\"}",
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"rule": "if true, draw small red rectangles inside cells highlighting interesting regions; same red box appears at the same coordinate across the row to make comparison fair",
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"callout_style": "optional zoomed crop placed below the row, connected by thin lines"
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}
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},
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"caption": {
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"enabled": "{argument name=\"caption_enabled\" default=\"true\"}",
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"label": "{argument name=\"figure_label\" default=\"Figure 4.\"}",
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"text": "{argument name=\"caption_text\" default=\"Qualitative comparison with state-of-the-art methods. Our method (last column) preserves fine details and reduces artifacts.\"}",
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"style": "below the grid, italic serif or compact sans-serif, justified, smaller font"
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},
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"constraints": {
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"must_keep": [
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"all cells identical size and tightly aligned",
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"white or near-white background, no gradient",
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"column headers clearly above each column with citation",
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"Ours column visually distinguished (border / shaded header)",
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"row content depicts the same sample across all methods",
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"if zoom-in boxes used, position is identical across the row",
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"labels in English by default, no mixing with Chinese unless requested",
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"must remain interpretable in grayscale print"
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],
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"avoid": [
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"different cell sizes between rows / columns",
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"random colors as cell backgrounds (cells are content, not decoration)",
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"missing citations on baseline methods",
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"ours column hidden or unmarked",
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"rotated cells / tilted layouts (must be axis-aligned)",
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"decorative emoji / cartoon icons inside cells",
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"varying content type per row (e.g. one row mask, next row RGB) without explicit row label",
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"more than 6 cols (becomes unreadable in two-column paper format)"
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]
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}
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}
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```
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### 参数策略
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- **必问**：`rows`、`cols`、每列方法名（含 citation）、`content_type`
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- **可默认**：`aspect_ratio`（4:3）、`row_labels_enabled`（true）、`caption_enabled`（true）
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- **可随机**：列间 gap 精确像素、字体大小（在合理范围内）
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### 自动补全策略
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- 用户给 "我有 4 个方法 + ours" → 自动加上 Input 列（成为 5 列：Input / M1 / M2 / M3 / M4 / Ours，共 6 列）
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- 用户没给 row labels → 默认用 "Sample 1, 2, 3, ..." 或反问是否要分难易度
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- 用户没给 citation → 提示 "建议加 [n] 引用占位" 而不是擅自编造
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- 用户说 "ablation study" → 列名改为 "w/o A", "w/o B", "Full" 等消融变体
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- 用户说 "需要 zoom-in" → 启用 `zoom_in_enabled` 并提示需要标 region 坐标
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## 变体 1：纯文本 NLP qualitative 对比
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```json
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{
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"type": "NLP qualitative comparison grid",
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"modify": {
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"content_type": "text_snippet",
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"cell_aspect": "tall rectangle (e.g. 2:3 portrait)",
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"cell_styling": "monospace font in cell, black text on white, with key tokens highlighted in colored boxes",
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"row_labels": "input prompt / question 显示在每一行最左",
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"use_case": "对比多个 LLM / 翻译 / summarization 输出"
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}
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}
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```
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适用：NLP 论文生成结果对比、机器翻译质量对比。
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## 变体 2：分割 mask 多列对比（含彩色 overlay）
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```json
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{
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"type": "Segmentation mask comparison grid",
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"modify": {
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"content_type": "segmentation_mask",
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"cell_styling": "RGB image base + 半透明 mask 叠加；每类颜色一致；GT 列与 Ours 列容易对比",
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"extras": "在 cells 下方可加 'mIoU: 0.78' 等定量指标小字",
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"color_legend": "图右下角附小图例：颜色 → 类别名"
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}
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}
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```
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适用：语义分割、实例分割、医学影像分割论文。
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## 变体 3：Diffusion / 生成模型 prompt × method 矩阵
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```json
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{
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"type": "Generation prompt × method matrix",
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"modify": {
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"rows": "different text prompts (left labels show prompt text)",
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"cols": "different generation methods or different sampling steps",
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"cell_content": "generated images, all from same prompt across the row",
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"extras": "可在 ours 列加 '↑ +0.3 CLIP score' 小标"
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}
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}
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```
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适用：扩散模型、文本到图像生成、图像编辑方法对比。
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## 避免事项
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- 单元格大小不一致 → 完全失去对比意义
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- 缺 citation → 同行评审会扣分
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- Ours 列没有标记 → 读者不知道哪个是你的
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- 同一行的样本不一致（这一行第一列是猫，第二列是狗）→ 对比不成立
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- 添加渐变 / 阴影 / 圆角过大 → 不像论文
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- 用 emoji 或 cartoon 装饰 → 严重不专业
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- 列数 > 6 → 论文双栏排版下看不清
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- 没有 caption → 读者不知道这张图想说什么
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- zoom-in 框位置在不同 cell 不一致 → 对比不公平
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