vault backup: 2024-04-25 22:36:20

This commit is contained in:
2024-04-25 22:36:20 +08:00
parent 687d8242fe
commit b09df8cde0
14 changed files with 443 additions and 359 deletions

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@@ -1,7 +1,7 @@
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"id": "easy-typing-obsidian", "id": "easy-typing-obsidian",
"name": "Easy Typing", "name": "Easy Typing",
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"description": "Autoformat your note as typing.(Auto captalize, autospace)", "description": "Autoformat your note as typing.(Auto captalize, autospace)",
"author": "yaozhuwa", "author": "yaozhuwa",

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@@ -17,6 +17,7 @@
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@@ -33,6 +34,8 @@
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@@ -60,6 +63,7 @@
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@@ -72,6 +76,7 @@
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"experimentalLivePreview": true, "experimentalLivePreview": true,
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"experimantalFourthFont": "Virgil", "experimantalFourthFont": "Virgil",
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@@ -93,7 +98,7 @@
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"latexBoilerplate": "\\color{blue}", "latexBoilerplate": "\\color{blue}",

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@@ -1,7 +1,7 @@
{ {
"id": "obsidian-excalidraw-plugin", "id": "obsidian-excalidraw-plugin",
"name": "Excalidraw", "name": "Excalidraw",
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"description": "An Obsidian plugin to edit and view Excalidraw drawings", "description": "An Obsidian plugin to edit and view Excalidraw drawings",
"author": "Zsolt Viczian", "author": "Zsolt Viczian",

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@@ -1,7 +1,7 @@
{ {
"id": "obsidian-quiet-outline", "id": "obsidian-quiet-outline",
"name": "Quiet Outline", "name": "Quiet Outline",
"version": "0.3.25", "version": "0.3.26",
"minAppVersion": "0.15.6", "minAppVersion": "0.15.6",
"description": "Make outline quiet and more powerful, including no-auto-expand, rendering heading as markdown, and search support.", "description": "Make outline quiet and more powerful, including no-auto-expand, rendering heading as markdown, and search support.",
"author": "the_tree", "author": "the_tree",

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@@ -120,6 +120,9 @@
.n-tree__empty { .n-tree__empty {
display: none; display: none;
} }
.canvas-node .markdown-embed-content .is-flashing {
mix-blend-mode: normal;
}
/* main.css */ /* main.css */
.quiet-outline .n-tree .n-tree-node-indent { .quiet-outline .n-tree .n-tree-node-indent {

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@@ -1,6 +1,6 @@
{ {
"name": "Minimal", "name": "Minimal",
"version": "7.5.3", "version": "7.5.4",
"minAppVersion": "1.5.4", "minAppVersion": "1.5.4",
"author": "@kepano", "author": "@kepano",
"authorUrl": "https://twitter.com/kepano", "authorUrl": "https://twitter.com/kepano",

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@@ -21,6 +21,7 @@
"excalidraw-css": "text", "excalidraw-css": "text",
"excalidraw-autoexport": "text", "excalidraw-autoexport": "text",
"excalidraw-iframe-theme": "text", "excalidraw-iframe-theme": "text",
"excalidraw-open-md": "checkbox" "excalidraw-open-md": "checkbox",
"excalidraw-export-embed-scene": "checkbox"
} }
} }

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@@ -4,11 +4,11 @@
"type": "split", "type": "split",
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"id": "1a8a1bc6981e13ee", "id": "51fae4b613ef49a5",
"type": "tabs", "type": "tabs",
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"type": "leaf", "type": "leaf",
"state": { "state": {
"type": "markdown", "type": "markdown",
@@ -145,8 +145,17 @@
"type": "advanced-tables-toolbar", "type": "advanced-tables-toolbar",
"state": {} "state": {}
} }
},
{
"id": "c5182e293f3cb5ca",
"type": "leaf",
"state": {
"type": "quiet-outline",
"state": {}
}
} }
] ],
"currentTab": 4
} }
], ],
"direction": "horizontal", "direction": "horizontal",
@@ -155,36 +164,38 @@
}, },
"left-ribbon": { "left-ribbon": {
"hiddenItems": { "hiddenItems": {
"switcher:打开快速切换": false, "switcher:Open quick switcher": false,
"graph:查看关系图谱": false, "graph:Open graph view": false,
"templates:插入模板": false, "templates:Insert template": false,
"command-palette:打开命令面板": false, "command-palette:Open command palette": false,
"oz-clear-unused-images:Clear Unused Images": false, "oz-clear-unused-images:Clear Unused Images": false,
"table-editor-obsidian:Advanced Tables Toolbar": false, "table-editor-obsidian:Advanced Tables Toolbar": false,
"obsidian-excalidraw-plugin:新建绘图文件": false, "notion-like-tables:Create loom": false,
"notion-like-tables:Create loom": false "obsidian-excalidraw-plugin:Create new drawing": false
} }
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@@ -1,2 +1 @@
模型微调 # 研究动机
需要注意的是,通过生成扩散过程传递优化后的嵌入 eopt 并不一定能完全得到输入图像 x,因为我们的优化只运行了少量步骤(见图7左上角的图像)。因此,在我们方法的第二阶段,我们通过优化模型参数 θ 来弥补这一差距,使用与等式2中相同的损失函数,同时冻结优化后的嵌入。这个过程将模型调整到适合输入图像 x 在 eopt 点的状态。同时,我们还对基础生成方法中存在的任何辅助扩散模型(如超分辨率模型)进行微调。我们使用相同的重建损失对它们进行微调,但以 etgt 为条件,因为它们将在编辑后的图像上运行。对这些辅助模型的优化确保保留了输入图像 x 中存在但基础分辨率中不存在的高频细节。经验上我们发现,在推理时,将 etgt 输入到辅助模型中的效果优于使用 eopt。