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ordering_study

Web interface for an image ordering user study

Here is a static demo page, demonstrating the user-end interactivity. This code was used in the user study described in the unpublished paper ''Texture Synthesis User Study'' at EG 2017

Webpage

The webpage has an introduction page, which saves the user's email, and asks for consent in participating. Then, the user is taken through the 12 textures, each of which has 7 different output images

screenshot

The user arranges them by perceived quality, and clicks submit. The created order, original order, and screen parameters are saved into testFile.txt. This requires php with write priviledges

Analysis

The script raw_to_data.sh selects user study sessions which contain all 12 textures, and converts the file testFile.txt to csv files which can be used for statistical analysis with programs like SPSS. It creates output_order_all_textures_one_row.csv, output_order_by_locations.csv, and meanss.csv

The script contains experiment-specific tuning, for example reversing user #54 who informed us that he made orderings in the opposite order, and removing users #6, #16, #35, #59 who did not spend enough time with the experiment or made no change to the original random orderings.

Supplementary Material

Along with the web interface, this repository contains supplementary material of the paper ''Texture Synthesis User Study'' at EG 2017.

  1. exemplar
  • contains exemplars of the 12 selected textures
  1. reference_output
  • contains reference outputs of the 12 selected textures
  1. full-resolution method outputs are in folders
  2. Ashikhmin
  3. Sykora (LazyFluids)
  4. self_tuning
  5. CNNMRF
  6. quilting
  7. resynthesizer
  8. raw user responses
  • user study ranks.csv
  1. texture property tables
  2. binary.csv and binary.xlsx
  3. ordinal.csv and ordinal.xlsx

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Web interface for an image ordering user study. Published at EG 2017

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Readme
GPL-3.0 license
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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ordering_study
Web interface for an image ordering user study
Here is a static demo page, demonstrating the user-end interactivity. This code was used in the user study described in the unpublished paper ''Texture Synthesis User Study'' at EG 2017
Webpage
The webpage has an introduction page, which saves the user's email, and asks for consent in participating. Then, the user is taken through the 12 textures, each of which has 7 different output images
screenshot
The user arranges them by perceived quality, and clicks submit. The created order, original order, and screen parameters are saved into testFile.txt. This requires php with write priviledges
Analysis
The script raw_to_data.sh selects user study sessions which contain all 12 textures, and converts the file testFile.txt to csv files which can be used for statistical analysis with programs like SPSS. It creates output_order_all_textures_one_row.csv, output_order_by_locations.csv, and meanss.csv
The script contains experiment-specific tuning, for example reversing user #54 who informed us that he made orderings in the opposite order, and removing users #6, #16, #35, #59 who did not spend enough time with the experiment or made no change to the original random orderings.
Supplementary Material
Along with the web interface, this repository contains supplementary material of the paper ''Texture Synthesis User Study'' at EG 2017.
  1. exemplar
  • contains exemplars of the 12 selected textures
  1. reference_output
  • contains reference outputs of the 12 selected textures
  1. full-resolution method outputs are in folders
  2. Ashikhmin
  3. Sykora (LazyFluids)
  4. self_tuning
  5. CNNMRF
  6. quilting
  7. resynthesizer
  8. raw user responses
  • user study ranks.csv
  1. texture property tables
  2. binary.csv and binary.xlsx
  3. ordinal.csv and ordinal.xlsx
About
Web interface for an image ordering user study. Published at EG 2017
Resources
Readme
GPL-3.0 license
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2 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
ordering_study
Web interface for an image ordering user study
Here is a static demo page, demonstrating the user-end interactivity. This code was used in the user study described in the unpublished paper ''Texture Synthesis User Study'' at EG 2017
Webpage
The webpage has an introduction page, which saves the user's email, and asks for consent in participating. Then, the user is taken through the 12 textures, each of which has 7 different output images
screenshot
The user arranges them by perceived quality, and clicks submit. The created order, original order, and screen parameters are saved into testFile.txt. This requires php with write priviledges
Analysis
The script raw_to_data.sh selects user study sessions which contain all 12 textures, and converts the file testFile.txt to csv files which can be used for statistical analysis with programs like SPSS. It creates output_order_all_textures_one_row.csv, output_order_by_locations.csv, and meanss.csv
The script contains experiment-specific tuning, for example reversing user #54 who informed us that he made orderings in the opposite order, and removing users #6, #16, #35, #59 who did not spend enough time with the experiment or made no change to the original random orderings.
Supplementary Material
Along with the web interface, this repository contains supplementary material of the paper ''Texture Synthesis User Study'' at EG 2017.
  1. exemplar
  • contains exemplars of the 12 selected textures
  1. reference_output
  • contains reference outputs of the 12 selected textures
  1. full-resolution method outputs are in folders
  2. Ashikhmin
  3. Sykora (LazyFluids)
  4. self_tuning
  5. CNNMRF
  6. quilting
  7. resynthesizer
  8. raw user responses
  • user study ranks.csv
  1. texture property tables
  2. binary.csv and binary.xlsx
  3. ordinal.csv and ordinal.xlsx
About
Web interface for an image ordering user study. Published at EG 2017
Resources
Readme
GPL-3.0 license
Activity
Stars
0 stars
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
ordering_study
Web interface for an image ordering user study
Here is a static demo page, demonstrating the user-end interactivity. This code was used in the user study described in the unpublished paper ''Texture Synthesis User Study'' at EG 2017
Webpage
The webpage has an introduction page, which saves the user's email, and asks for consent in participating. Then, the user is taken through the 12 textures, each of which has 7 different output images
screenshot
The user arranges them by perceived quality, and clicks submit. The created order, original order, and screen parameters are saved into testFile.txt. This requires php with write priviledges
Analysis
The script raw_to_data.sh selects user study sessions which contain all 12 textures, and converts the file testFile.txt to csv files which can be used for statistical analysis with programs like SPSS. It creates output_order_all_textures_one_row.csv, output_order_by_locations.csv, and meanss.csv
The script contains experiment-specific tuning, for example reversing user #54 who informed us that he made orderings in the opposite order, and removing users #6, #16, #35, #59 who did not spend enough time with the experiment or made no change to the original random orderings.
Supplementary Material
Along with the web interface, this repository contains supplementary material of the paper ''Texture Synthesis User Study'' at EG 2017.
  1. exemplar
  • contains exemplars of the 12 selected textures
  1. reference_output
  • contains reference outputs of the 12 selected textures
  1. full-resolution method outputs are in folders
  2. Ashikhmin
  3. Sykora (LazyFluids)
  4. self_tuning
  5. CNNMRF
  6. quilting
  7. resynthesizer
  8. raw user responses
  • user study ranks.csv
  1. texture property tables
  2. binary.csv and binary.xlsx
  3. ordinal.csv and ordinal.xlsx
About
Web interface for an image ordering user study. Published at EG 2017
Resources
Readme
GPL-3.0 license
Activity
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Watchers
2 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
ordering_study
Web interface for an image ordering user study
Here is a static demo page, demonstrating the user-end interactivity. This code was used in the user study described in the unpublished paper ''Texture Synthesis User Study'' at EG 2017
Webpage
The webpage has an introduction page, which saves the user's email, and asks for consent in participating. Then, the user is taken through the 12 textures, each of which has 7 different output images
screenshot
The user arranges them by perceived quality, and clicks submit. The created order, original order, and screen parameters are saved into testFile.txt. This requires php with write priviledges
Analysis
The script raw_to_data.sh selects user study sessions which contain all 12 textures, and converts the file testFile.txt to csv files which can be used for statistical analysis with programs like SPSS. It creates output_order_all_textures_one_row.csv, output_order_by_locations.csv, and meanss.csv
The script contains experiment-specific tuning, for example reversing user #54 who informed us that he made orderings in the opposite order, and removing users #6, #16, #35, #59 who did not spend enough time with the experiment or made no change to the original random orderings.
Supplementary Material
Along with the web interface, this repository contains supplementary material of the paper ''Texture Synthesis User Study'' at EG 2017.
  1. exemplar
  • contains exemplars of the 12 selected textures
  1. reference_output
  • contains reference outputs of the 12 selected textures
  1. full-resolution method outputs are in folders
  2. Ashikhmin
  3. Sykora (LazyFluids)
  4. self_tuning
  5. CNNMRF
  6. quilting
  7. resynthesizer
  8. raw user responses
  • user study ranks.csv
  1. texture property tables
  2. binary.csv and binary.xlsx
  3. ordinal.csv and ordinal.xlsx
About
Web interface for an image ordering user study. Published at EG 2017
Resources
Readme
GPL-3.0 license
Activity
Stars
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Watchers
2 watching
Forks
0 forks
Report repository
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Packages
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
ordering_study
Web interface for an image ordering user study
Here is a static demo page, demonstrating the user-end interactivity. This code was used in the user study described in the unpublished paper ''Texture Synthesis User Study'' at EG 2017
Webpage
The webpage has an introduction page, which saves the user's email, and asks for consent in participating. Then, the user is taken through the 12 textures, each of which has 7 different output images
screenshot
The user arranges them by perceived quality, and clicks submit. The created order, original order, and screen parameters are saved into testFile.txt. This requires php with write priviledges
Analysis
The script raw_to_data.sh selects user study sessions which contain all 12 textures, and converts the file testFile.txt to csv files which can be used for statistical analysis with programs like SPSS. It creates output_order_all_textures_one_row.csv, output_order_by_locations.csv, and meanss.csv
The script contains experiment-specific tuning, for example reversing user #54 who informed us that he made orderings in the opposite order, and removing users #6, #16, #35, #59 who did not spend enough time with the experiment or made no change to the original random orderings.
Supplementary Material
Along with the web interface, this repository contains supplementary material of the paper ''Texture Synthesis User Study'' at EG 2017.
  1. exemplar
  • contains exemplars of the 12 selected textures
  1. reference_output
  • contains reference outputs of the 12 selected textures
  1. full-resolution method outputs are in folders
  2. Ashikhmin
  3. Sykora (LazyFluids)
  4. self_tuning
  5. CNNMRF
  6. quilting
  7. resynthesizer
  8. raw user responses
  • user study ranks.csv
  1. texture property tables
  2. binary.csv and binary.xlsx
  3. ordinal.csv and ordinal.xlsx
About
Web interface for an image ordering user study. Published at EG 2017
Resources
Readme
GPL-3.0 license
Activity
Stars
0 stars
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
ordering_study
Web interface for an image ordering user study
Here is a static demo page, demonstrating the user-end interactivity. This code was used in the user study described in the unpublished paper ''Texture Synthesis User Study'' at EG 2017
Webpage
The webpage has an introduction page, which saves the user's email, and asks for consent in participating. Then, the user is taken through the 12 textures, each of which has 7 different output images
screenshot
The user arranges them by perceived quality, and clicks submit. The created order, original order, and screen parameters are saved into testFile.txt. This requires php with write priviledges
Analysis
The script raw_to_data.sh selects user study sessions which contain all 12 textures, and converts the file testFile.txt to csv files which can be used for statistical analysis with programs like SPSS. It creates output_order_all_textures_one_row.csv, output_order_by_locations.csv, and meanss.csv
The script contains experiment-specific tuning, for example reversing user #54 who informed us that he made orderings in the opposite order, and removing users #6, #16, #35, #59 who did not spend enough time with the experiment or made no change to the original random orderings.
Supplementary Material
Along with the web interface, this repository contains supplementary material of the paper ''Texture Synthesis User Study'' at EG 2017.
  1. exemplar
  • contains exemplars of the 12 selected textures
  1. reference_output
  • contains reference outputs of the 12 selected textures
  1. full-resolution method outputs are in folders
  2. Ashikhmin
  3. Sykora (LazyFluids)
  4. self_tuning
  5. CNNMRF
  6. quilting
  7. resynthesizer
  8. raw user responses
  • user study ranks.csv
  1. texture property tables
  2. binary.csv and binary.xlsx
  3. ordinal.csv and ordinal.xlsx
About
Web interface for an image ordering user study. Published at EG 2017
Resources
Readme
GPL-3.0 license
Activity
Stars
0 stars
Watchers
2 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
ordering_study
Web interface for an image ordering user study
Here is a static demo page, demonstrating the user-end interactivity. This code was used in the user study described in the unpublished paper ''Texture Synthesis User Study'' at EG 2017
Webpage
The webpage has an introduction page, which saves the user's email, and asks for consent in participating. Then, the user is taken through the 12 textures, each of which has 7 different output images
screenshot
The user arranges them by perceived quality, and clicks submit. The created order, original order, and screen parameters are saved into testFile.txt. This requires php with write priviledges
Analysis
The script raw_to_data.sh selects user study sessions which contain all 12 textures, and converts the file testFile.txt to csv files which can be used for statistical analysis with programs like SPSS. It creates output_order_all_textures_one_row.csv, output_order_by_locations.csv, and meanss.csv
The script contains experiment-specific tuning, for example reversing user #54 who informed us that he made orderings in the opposite order, and removing users #6, #16, #35, #59 who did not spend enough time with the experiment or made no change to the original random orderings.
Supplementary Material
Along with the web interface, this repository contains supplementary material of the paper ''Texture Synthesis User Study'' at EG 2017.
  1. exemplar
  • contains exemplars of the 12 selected textures
  1. reference_output
  • contains reference outputs of the 12 selected textures
  1. full-resolution method outputs are in folders
  2. Ashikhmin
  3. Sykora (LazyFluids)
  4. self_tuning
  5. CNNMRF
  6. quilting
  7. resynthesizer
  8. raw user responses
  • user study ranks.csv
  1. texture property tables
  2. binary.csv and binary.xlsx
  3. ordinal.csv and ordinal.xlsx
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Web interface for an image ordering user study. Published at EG 2017
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