Sub-pixel Distance Transform — Acko.net
This page includes diagrams in WebGPU, which has limited browser support. For the full experience, use Chrome on Windows or Mac, or a developer build on other platforms. In this post I will describe Use.GPU's text rendering, which uses a bespoke approach to Signed Distance Fields (SDFs). This was borne out of necessity: while SDF text is pretty common on GPUs, some of the established practice on g
GitHub - mxgmn/WaveFunctionCollapse: Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
WaveFunctionCollapse This program generates bitmaps that are locally similar to the input bitmap. Local similarity means that (C1) The output should contain only those NxN patterns of pixels that are present in the input. (Weak C2) Distribution of NxN patterns in the input should be similar to the distribution of NxN patterns over a sufficiently large number of outputs. In other words, probability
JavaScriptã§å¤§é‡ã®ã‚ªãƒ–ジェクトã®å½“ãŸã‚Šåˆ¤å®šã‚’効率的ã«ã¨ã‚‹ - Subterranean Flower Blog
ゲームãªã©ã®ã‚³ãƒ³ãƒ†ãƒ³ãƒ„ã«ãŠã„ã¦ã€ã€Œå½“ãŸã‚Šåˆ¤å®šã€ã‹ã‚‰é€ƒã‚Œã‚‹ã“ã¨ã¯ã§ãã¾ã›ã‚“。オブジェクトã¨ã‚ªãƒ–ジェクトãŒè¡çªã—ãŸã‹ã©ã†ã‹ã¨ã„ã†åˆ¤å®šã¯ã€ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ–コンテンツã«ãŠã„ã¦æœ€ã‚‚é‡è¦ãªéƒ¨åˆ†ã«ãªã‚‹ã‹ã‚‰ã§ã™ã€‚ 当ãŸã‚Šåˆ¤å®šã®å®Ÿè£…自体ã¯é›£ã—ãã‚ã‚Šã¾ã›ã‚“。ã§ã™ãŒã€ç´ 朴ãªå®Ÿè£…ã§ã™ã¨ã€å¯¾è±¡ã¨ãªã‚‹ã‚ªãƒ–ジェクトãŒå¤§é‡ã§ã‚ã‚‹å ´åˆã«ã€å分ãªãƒ‘フォーマンスãŒå‡ºã¾ã›ã‚“。ã“ã‚Œã¯ã‚ªãƒ–ジェクトã®å¤šã„ã€ç¾ä»£çš„ãªã‚²ãƒ¼ãƒ ã§ã—ãŸã‚Šã€å¼¾å¹•ã‚·ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ãªã©ã‚’作るã¨ãã«å¤§ããªéšœå®³ã¨ãªã‚Šã¾ã™ã€‚ ã“ã®è¨˜äº‹ã§ã¯ã€å¤§é‡ã®ã‚ªãƒ–ジェクトã®å½“ãŸã‚Šåˆ¤å®šã‚’処ç†ã™ã‚‹ã€åŠ¹çŽ‡çš„ãªæ–¹æ³•ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã™ã€‚ ã¾ãšã¯ç´ 朴ã«å®Ÿè£…ã—ã¦ã¿ã‚‹ 当ãŸã‚Šåˆ¤å®šã®å‡¦ç†ã‚’語るã«ã¯ã€ã‚る程度ゲームã®éª¨çµ„ã¿ã®ã‚ˆã†ãªã‚‚ã®ãŒå¿…è¦ã«ãªã£ã¦ãã¾ã™ã€‚ã‚‚ã¡ã‚んクラスãªã©ã‚’使ã‚ãªã„ベタ書ãã§ã‚‚よã„ã®ã§ã™ãŒã€å¤§å¤‰èªã¿ã«ãããªã£ã¦ã—ã¾ã„ã¾ã™ã€‚ã§ã™ã®ã§ã€ä»Šå›žã¯ã€ã¾ãšç°¡æ˜“çš„ãªã‚²ãƒ¼ãƒ エンジンã®ã‚ˆã†ãªã‚‚ã®ã‚’作ã£ã¦ã€ã
Perlin noise - Wikipedia
Two-dimensional slice through 3D Perlin noise at z = 0 Perlin noise is a type of gradient noise developed by Ken Perlin in 1983. It has many uses, including but not limited to: procedurally generating terrain, applying pseudo-random changes to a variable, and assisting in the creation of image textures. It is most commonly implemented in two, three, or four dimensions, but can be defined for any n
マンガã§ã‚ã‹ã‚‹HCI: 今週ã®ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ã‚¹ç ”ç©¶ 140å—ã§ã®è«–文解説 ã¾ã¨ã‚ 7/19-7/26｜マンガã§ã‚ã‹ã‚‹HCI（ヒューマン・コンピュータ・インタラクション）
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マジックカーãƒãƒ« – ç”»åƒã®ãƒªã‚µãƒ³ãƒ—リングã®ãƒ¡ã‚½ãƒƒãƒ‰ | POSTD
マジックカーãƒãƒ«ã¨ã¯ï¼Ÿ “マジックカーãƒãƒ«â€ã¨ã¯ã€æ¥µã‚ã¦é«˜é€Ÿã§ï¼ˆä¸€ç•ªå˜ç´”ãªãƒãƒ¼ã‚¸ãƒ§ãƒ³ãªã‚‰ã€å¿…è¦ãªã®ã¯å°‘ã—ã®æ•´æ•°åŠ ç®—ã¨ãƒ“ットシフトã®ã¿ã§ã™ï¼‰ã€é©šãã»ã©ã®çµæžœã‚’出ã—ã¦ãれる効果的ãªç”»åƒã®ãƒªã‚µãƒ³ãƒ—リングã®ãƒ¡ã‚½ãƒƒãƒ‰ã§ã™ï¼ˆã‚¨ã‚¤ãƒªã‚¢ã‚·ãƒ³ã‚°ãƒŽã‚¤ã‚ºã‚„リンギングã€ç´°ã‹ã„物体ã®â€Width beatâ€ã®ç™ºç”Ÿã‚’防ãŽã¾ã™ï¼‰ã€‚ ç§ãŒã“ã®ãƒžã‚¸ãƒƒã‚¯ã‚«ãƒ¼ãƒãƒ«ã¨å‡ºä¼šã£ãŸã®ã¯2006å¹´ã€ä¸€èˆ¬çš„ã«ä½¿ã‚ã‚Œã¦ã„ã‚‹JPEGライブラリã®ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ã‚’扱ã£ã¦ã„ãŸæ™‚ã®ã“ã¨ã§ã™ã€‚ãれ以æ¥ã€ã“ã®ç´ 晴らã—ã„特性を深ã探りã€ä»»æ„ã®ãƒªã‚µãƒ³ãƒ—リングファクタã®ã‚±ãƒ¼ã‚¹ã«ã¾ã§ã“ã®ãƒ¡ã‚½ãƒƒãƒ‰ã‚’広ã’ã¾ã—ãŸã€‚ ã“ã®Webページã§ã¯ã€ãれらã®ç‰¹æ€§ã‚’è¦ç´„ã—ã¦èª¬æ˜Žã—ã€ç”»åƒã¸ã®é©ç”¨ã‚‚å«ã‚ã¦ãƒžã‚¸ãƒƒã‚¯ã‚«ãƒ¼ãƒãƒ«ã®C#ã®ã‚³ãƒ¼ãƒ‰å®Ÿè£…ã®å…¨ã¦ã‚’ã”紹介ã—ã¾ã™ã€‚ マジックカーãƒãƒ«ã¯ã©ã“ã‹ã‚‰æ¥ãŸã®ã‹ 2006å¹´ã«ç§ã¯ã€JPEGã‚’éŽå‰°ã«åœ§ç¸®ã™ã‚‹ã¨ç™ºç”Ÿã™ã‚‹ãƒ–ãƒãƒƒã‚¯ãƒŽã‚¤ã‚ºã‚’最å°é™ã«æŠ‘ãˆã‚‹ã„ã„方法ã¯
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