{"id":8511,"date":"2026-05-22T11:47:57","date_gmt":"2026-05-22T02:47:57","guid":{"rendered":"https:\/\/since2020.jp\/media\/?p=8511"},"modified":"2026-05-22T11:47:57","modified_gmt":"2026-05-22T02:47:57","slug":"%e6%8b%a1%e6%95%a3%e3%83%a2%e3%83%87%e3%83%ab%e5%85%a5%e9%96%80%e3%80%80%e3%80%8cddim%e3%81%af%e3%81%aa%e3%81%9c%e9%80%9f%e3%81%84%ef%bc%9f%e3%80%8d%e3%82%92%e7%90%86%e8%a7%a3%e3%81%99%e3%82%8b","status":"publish","type":"post","link":"https:\/\/since2020.jp\/media\/%e6%8b%a1%e6%95%a3%e3%83%a2%e3%83%87%e3%83%ab%e5%85%a5%e9%96%80%e3%80%80%e3%80%8cddim%e3%81%af%e3%81%aa%e3%81%9c%e9%80%9f%e3%81%84%ef%bc%9f%e3%80%8d%e3%82%92%e7%90%86%e8%a7%a3%e3%81%99%e3%82%8b\/","title":{"rendered":"\u62e1\u6563\u30e2\u30c7\u30eb\u5165\u9580\u3000~\u300cDDIM\u306f\u306a\u305c\u901f\u3044\uff1f\u300d\u3092\u7406\u89e3\u3059\u308b~"},"content":{"rendered":"\n<p>\u8fd1\u5e74\u3001Stable Diffusion\u306b\u4ee3\u8868\u3055\u308c\u308b\u753b\u50cf\u751f\u6210\u306e\u80fd\u529b\u304c\u98db\u8e8d\u7684\u306a\u9032\u6b69\u3092\u9042\u3052\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u6839\u5e79\u3068\u306a\u308b\u6280\u8853\u3068\u3057\u3066\u300c\u62e1\u6563\u78ba\u7387\u30e2\u30c7\u30eb\uff08Diffusion Probabilistic Model\uff09\u300d\u304c\u4f7f\u308f\u308c\u3066\u3044\u307e\u3059\u3002\u62e1\u6563\u78ba\u7387\u30e2\u30c7\u30eb\u3068\u3057\u3066\u6700\u3082\u57fa\u790e\u7684\u306a\u624b\u6cd5\u304cDDPM\uff08Denoising Diffusion Probabilistic Model\uff09\u3068\u547c\u3070\u308c\u308b\u3082\u306e\u3067\u3001\u5143\u306e\u753b\u50cf\u306b\u5bfe\u3057\u5f90\u3005\u306b\u30ce\u30a4\u30ba\u3092\u52a0\u3048\u3066\u3044\u304d\u3001\u751f\u6210\u904e\u7a0b\u3067\u306f\u305d\u306e\u30ce\u30a4\u30ba\u3092\u4e88\u6e2c\u30fb\u9664\u53bb\u3059\u308b\u3053\u3068\u3067\u9ad8\u54c1\u8cea\u306a\u753b\u50cf\u3092\u751f\u6210\u3057\u307e\u3059\u3002\u3057\u304b\u3057DDPM\u306f\u3001\u751f\u6210\u306b\u591a\u304f\u306e\u30b9\u30c6\u30c3\u30d7\u3092\u8981\u3059\u308b\u3068\u3044\u3046\u8ab2\u984c\u304c\u3042\u308a\u307e\u3057\u305f\u3002\u305d\u3053\u3067DDPM\u306e\u751f\u6210\u54c1\u8cea\u3092\u7dad\u6301\u3057\u3064\u3064\u751f\u6210\u901f\u5ea6\u3092\u5927\u5e45\u306b\u5411\u4e0a\u3055\u305b\u305f\u624b\u6cd5\u3001DDIM\uff08Denoising Diffusion Implicit Model\uff09\u304c\u63d0\u6848\u3055\u308c\u307e\u3059\u3002\u4eca\u56de\u306f\u307e\u305aDDPM\u306b\u3064\u3044\u3066\u6982\u8aac\u3057\u305f\u306e\u3061\u3001DDIM\u304c\u306a\u305c\u9ad8\u901f\u306a\u751f\u6210\u3092\u884c\u3048\u308b\u306e\u304b\u3092\u3001\u6570\u5f0f\u3092\u6700\u5c0f\u9650\u306b\u6291\u3048\u3064\u3064\u3001\u76f4\u611f\u7684\u306a\u30a4\u30e1\u30fc\u30b8\u3067\u89e3\u8aac\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">DDPM\u306b\u3064\u3044\u3066<\/h2>\n\n\n\n<p>DDPM\u306fDenoising Diffusion Probabilistic Model\u306e\u982d\u6587\u5b57\u3092\u3068\u3063\u305f\u3082\u306e\u3067\u3001\u300c\u30b3\u30fc\u30d2\u30fc\u306b\u725b\u4e73\u3092\u6ce8\u304e\u304b\u304d\u6df7\u305c\u308b\u3068\u30b3\u30fc\u30d2\u30fc\u725b\u4e73\u306b\u306a\u308b\u3002\u3067\u306f\u9006\u306b\u3001\u3053\u306e\u30b3\u30fc\u30d2\u30fc\u725b\u4e73\u306f\u3069\u306e\u7a0b\u5ea6\u304b\u304d\u6df7\u305c\u305f\u306e\u304b\u3001\u5143\u306e\u30b3\u30fc\u30d2\u30fc\u306f\u3069\u306e\u3088\u3046\u306a\u3082\u306e\u3060\u3063\u305f\u304b\u300d\u3068\u3044\u3046\u975e\u5e73\u8861\u71b1\u529b\u5b66\u306b\u57fa\u3065\u3044\u305f\u30a2\u30a4\u30c7\u30a2\u304c\u8d77\u6e90\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u62e1\u6563\u904e\u7a0b\uff08\u30ce\u30a4\u30ba\u306e\u4ed8\u4e0e\uff09<\/li>\n<\/ul>\n\n\n\n<p>\u3053\u3053\u306b\u8907\u6570\u679a\u306e\u3072\u307e\u308f\u308a\u306e\u753b\u50cf\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002\u753b\u89d2\u30fb\u660e\u6697\u30fb\u3072\u307e\u308f\u308a\u306e\u5927\u304d\u3055\u306a\u3069\u306f\u30d0\u30e9\u30d0\u30e9\u3067\u3001\u300c\u3072\u307e\u308f\u308a\u306e\u753b\u50cf\u300d\u3067\u3042\u308b\u3053\u3068\u304c\u5171\u901a\u70b9\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u3053\u308c\u3089\u306e\u753b\u50cf1\u679a1\u679a\u306b\u3001\u5c11\u3057\u305a\u3064\u30ac\u30a6\u30b9\u30ce\u30a4\u30ba\u3092\u52a0\u3048\u3066\u3044\u304d\u307e\u3059\u3002\u6570\u5f0f\u3067\u8868\u3059\u3068\u3001\u6642\u523b <math data-latex=\"t\"><semantics><mi>t<\/mi><annotation encoding=\"application\/x-tex\">t<\/annotation><\/semantics><\/math> \u306e\u30b9\u30c6\u30c3\u30d7\u3067\u306e\u753b\u50cf <math data-latex=\"x_t\"><semantics><msub><mi>x<\/mi><mi>t<\/mi><\/msub><annotation encoding=\"application\/x-tex\">x_t<\/annotation><\/semantics><\/math> \u306f<\/p>\n\n\n\n<div class=\"wp-block-math\"><math display=\"block\"><semantics><mrow><msub><mi>x<\/mi><mi>t<\/mi><\/msub><mo>=<\/mo><msqrt><msub><mover><mi>\u03b1<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">\u203e<\/mo><\/mover><mi>t<\/mi><\/msub><\/msqrt><mspace width=\"0.1667em\"><\/mspace><msub><mi>x<\/mi><mn>0<\/mn><\/msub><mo>+<\/mo><msqrt><mrow><mn>1<\/mn><mo>\u2212<\/mo><msub><mover><mi>\u03b1<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">\u203e<\/mo><\/mover><mi>t<\/mi><\/msub><\/mrow><\/msqrt><mspace width=\"0.1667em\"><\/mspace><mi>\u03f5<\/mi><mo separator=\"true\">,<\/mo><mspace width=\"1em\"><\/mspace><mi>\u03f5<\/mi><mo>\u223c<\/mo><mi class=\"mathcal\">\ud835\udca9<\/mi><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><mi>I<\/mi><mo form=\"postfix\" stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">x_t = \\sqrt{\\bar{\\alpha}_t}\\, x_0 + \\sqrt{1-\\bar{\\alpha}_t}\\,\\epsilon, \\quad \\epsilon \\sim \\mathcal{N}(0, I)<\/annotation><\/semantics><\/math><\/div>\n\n\n\n<p>\u3068\u66f8\u3051\u307e\u3059\uff08<math data-latex=\"\\bar{\\alpha}_t\"><semantics><msub><mover><mi>\u03b1<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">\u203e<\/mo><\/mover><mi>t<\/mi><\/msub><annotation encoding=\"application\/x-tex\">\\bar{\\alpha}_t<\/annotation><\/semantics><\/math> \u306f\u30ce\u30a4\u30ba\u30b9\u30b1\u30b8\u30e5\u30fc\u30eb\u3067\u6c7a\u307e\u308b\u5b9a\u6570\uff09\u3002\u3072\u307e\u308f\u308a\u306e\u753b\u50cf\u306f\u5f90\u3005\u306b\u3050\u3061\u3083\u3050\u3061\u3083\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u5b8c\u5168\u306a\u30e9\u30f3\u30c0\u30e0\u30ce\u30a4\u30ba\u3078\u3068\u5909\u8c8c\u3057\u307e\u3059\u3002\u3053\u306e\u3068\u304d\u3001\u300c\u5404\u30b9\u30c6\u30c3\u30d7\u3067\u3069\u306e\u3088\u3046\u306a\u30ce\u30a4\u30ba <math data-latex=\"\\epsilon\"><semantics><mi>\u03f5<\/mi><annotation encoding=\"application\/x-tex\">\\epsilon<\/annotation><\/semantics><\/math> \u3092\u52a0\u3048\u305f\u304b\u300d\u3068\u3044\u3046\u60c5\u5831\u3092\u8a18\u9332\u3057\u3066\u304a\u304d\u307e\u3059\u3002\u3053\u308c\u304c\u751f\u6210\u904e\u7a0b\u306e\u809d\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span class=\"swl-fz u-fz-s\">\u9006\u62e1\u6563\u904e\u7a0b\uff08\u751f\u6210\u904e\u7a0b\uff09<\/span><\/li>\n<\/ul>\n\n\n\n<p>\u62e1\u6563\u904e\u7a0b\u3092\u9006\u518d\u751f\u3059\u308b\u3088\u3046\u306b\u3001\u30ce\u30a4\u30ba\u30921\u30b9\u30c6\u30c3\u30d7\u305a\u3064\u9664\u53bb\u3057\u3066\u3044\u304d\u307e\u3059\u3002\u5404\u30b9\u30c6\u30c3\u30d7\u3067\u306f\u3001U-Net\u306a\u3069\u306e\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304c\u300c\u3053\u306e\u30ce\u30a4\u30ba\u753b\u50cf\u306b\u3069\u306e\u3088\u3046\u306a\u30ce\u30a4\u30ba\u304c\u52a0\u308f\u3063\u3066\u3044\u305f\u304b\u300d\u3092\u4e88\u6e2c\u3057\u3001\u305d\u308c\u3092\u5dee\u3057\u5f15\u304f\u3053\u3068\u3067\u3088\u308a\u9bae\u660e\u306a\u753b\u50cf\u306b\u8fd1\u3065\u3051\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>DDPM\u3067\u306f\u3053\u306e\u51e6\u7406\u304c\u9006\u62e1\u6563\u306e\u30de\u30eb\u30b3\u30d5\u9023\u9396\u3068\u3057\u3066\u5b9a\u5f0f\u5316\u3055\u308c\u3066\u304a\u308a\u3001\u4e00\u822c\u7684\u306b\u7d041000\u30b9\u30c6\u30c3\u30d7\u306e\u53cd\u5fa9\u304c\u5fc5\u8981\u3067\u3059\u3002\u3053\u308c\u304c\u5927\u304d\u306a\u8a08\u7b97\u30b3\u30b9\u30c8\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">DDIM\u306b\u3064\u3044\u3066<\/h2>\n\n\n\n<p>\u3053\u306e\u8ab2\u984c\u306b\u5bfe\u3057\u3066\u63d0\u6848\u3055\u308c\u305f\u306e\u304c\u3001DDIM\uff08Denoising Diffusion Implicit Model\uff09\u3067\u3059\u3002\u3053\u3053\u3067\u51fa\u3066\u304d\u305f\u300cImplicit\uff08\u6697\u9ed9\u7684\u306a\uff09\u300d\u306f\u3001DDPM\u304c\u30de\u30eb\u30b3\u30d5\u904e\u7a0b\u306b\u57fa\u3065\u3044\u30661\u30b9\u30c6\u30c3\u30d7\u305a\u3064\u30ce\u30a4\u30ba\u3092\u4ed8\u4e0e\u30fb\u9664\u53bb\u3059\u308b\u306e\u306b\u5bfe\u3057\u3001DDIM\u3067\u306f\u305d\u306e\u30de\u30eb\u30b3\u30d5\u6027\u306e\u4eee\u5b9a\u3092\u5916\u3057\u3001\u975e\u30de\u30eb\u30b3\u30d5\u7684\u306a\u62e1\u6563\u904e\u7a0b\u3092\u5c0e\u5165\u3059\u308b\u3053\u3068\u306b\u7531\u6765\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u306a\u305c\u30de\u30eb\u30b3\u30d5\u6027\u3092\u5916\u3059\u3068\u30b9\u30c6\u30c3\u30d7\u3092\u30b9\u30ad\u30c3\u30d7\u3067\u304d\u308b\u306e\u304b\u3002DDPM\u306e\u9006\u62e1\u6563\u3067\u306f\u300c\u76f4\u524d\u306e\u30b9\u30c6\u30c3\u30d7 <math data-latex=\"x_{t-1}\"><semantics><msub><mi>x<\/mi><mrow><mi>t<\/mi><mo>\u2212<\/mo><mn>1<\/mn><\/mrow><\/msub><annotation encoding=\"application\/x-tex\">x_{t-1}<\/annotation><\/semantics><\/math> \u3092\u6c42\u3081\u308b\u300d\u3068\u3044\u3046\u5236\u7d04\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u65b9DDIM\u306f\u3001\u4efb\u610f\u306e\u30b9\u30c6\u30c3\u30d7 <math data-latex=\"t\"><semantics><mi>t<\/mi><annotation encoding=\"application\/x-tex\">t<\/annotation><\/semantics><\/math> \u304b\u3089\u5143\u753b\u50cf <math data-latex=\"\\hat{x}_0\"><semantics><msub><mover><mi>x<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">^<\/mo><\/mover><mn>0<\/mn><\/msub><annotation encoding=\"application\/x-tex\">\\hat{x}_0<\/annotation><\/semantics><\/math> \u3092\u4e00\u5ea6\u76f4\u63a5\u63a8\u5b9a\u3057\u3001\u305d\u308c\u3092\u3082\u3068\u306b\u4efb\u610f\u306e\u30b9\u30c6\u30c3\u30d7 <math data-latex=\"t'\"><semantics><msup><mi>t<\/mi><mo lspace=\"0em\" rspace=\"0em\" class=\"tml-prime\">\u2032<\/mo><\/msup><annotation encoding=\"application\/x-tex\">t&#8217;<\/annotation><\/semantics><\/math> ( &lt;math data-latex=&quot;t&#039;<semantics><mrow><msup><mi>t<\/mi><mo lspace=\"0em\" rspace=\"0em\" class=\"tml-prime\">\u2032<\/mo><\/msup><mo>&lt;<\/mo><mi>t<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">t'&lt;t<\/annotation><\/semantics><\/math> ) \u3078\u3068\u30b8\u30e3\u30f3\u30d7\u3057\u307e\u3059\u3002\u3053\u306e\u66f4\u65b0\u5f0f\u306f\u6b21\u306e\u3088\u3046\u306b\u66f8\u3051\u307e\u3059\uff1a<\/p>\n\n\n\n<div class=\"wp-block-math\"><math display=\"block\"><semantics><mrow><msub><mi>x<\/mi><msup><mi>t<\/mi><mo lspace=\"0em\" rspace=\"0em\" class=\"tml-prime\">\u2032<\/mo><\/msup><\/msub><mo>=<\/mo><msqrt><msub><mover><mi>\u03b1<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">\u203e<\/mo><\/mover><msup><mi>t<\/mi><mo lspace=\"0em\" rspace=\"0em\" class=\"tml-prime\">\u2032<\/mo><\/msup><\/msub><\/msqrt><mspace width=\"0.1667em\"><\/mspace><msub><mover><mi>x<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">^<\/mo><\/mover><mn>0<\/mn><\/msub><mo>+<\/mo><msqrt><mrow><mn>1<\/mn><mo>\u2212<\/mo><msub><mover><mi>\u03b1<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">\u203e<\/mo><\/mover><msup><mi>t<\/mi><mo lspace=\"0em\" rspace=\"0em\" class=\"tml-prime\">\u2032<\/mo><\/msup><\/msub><\/mrow><\/msqrt><mspace width=\"0.1667em\"><\/mspace><msub><mi>\u03f5<\/mi><mi>\u03b8<\/mi><\/msub><mo form=\"prefix\" stretchy=\"false\">(<\/mo><msub><mi>x<\/mi><mi>t<\/mi><\/msub><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo form=\"postfix\" stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">x_{t&#8217;} = \\sqrt{\\bar{\\alpha}_{t&#8217;}}\\,\\hat{x}_0 + \\sqrt{1-\\bar{\\alpha}_{t&#8217;}}\\,\\epsilon_\\theta(x_t, t)<\/annotation><\/semantics><\/math><\/div>\n\n\n\n<p>\u3053\u306e\u4ed5\u7d44\u307f\u306b\u3088\u308a\u3001DDIM\u306f10\u301c100\u30b9\u30c6\u30c3\u30d7\u7a0b\u5ea6\u306e\u63a8\u8ad6\u3067\u3001DDPM\u306b\u5339\u6575\u3042\u308b\u3044\u306f\u305d\u308c\u4ee5\u4e0a\u306e\u54c1\u8cea\u306e\u753b\u50cf\u3092\u751f\u6210\u3067\u304d\u307e\u3059\u3002CIFAR-10\u3067\u306e\u5b9f\u9a13\u3067\u306f\u3001DDIM\u306f1000\u30b9\u30c6\u30c3\u30d7\u306eDDPM\u306b\u76f8\u5f53\u3059\u308bFID\u30b9\u30b3\u30a2\u3092\u3001\u308f\u305a\u304b10\u301c20\u30b9\u30c6\u30c3\u30d7\u3067\u9054\u6210\u3057\u3066\u304a\u308a\u300150\u301c100\u500d\u306e\u9ad8\u901f\u5316\u304c\u78ba\u8a8d\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u307e\u305f\u3001DDIM\u306f\u66f4\u65b0\u5f0f\u304c\u6c7a\u5b9a\u8ad6\u7684\uff08\u30e9\u30f3\u30c0\u30e0\u6027\u304c\u306a\u3044\uff09\u3067\u3042\u308b\u305f\u3081\u3001\u540c\u3058\u521d\u671f\u30ce\u30a4\u30ba\u304b\u3089\u306f\u5e38\u306b\u540c\u3058\u753b\u50cf\u304c\u751f\u6210\u3055\u308c\u308b\u3068\u3044\u3046\u300c\u4e00\u8cab\u6027\u300d\u3082\u6301\u3061\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u3010\u88dc\u8db3\u3011\uff1a\u4f55\u3092\u5b66\u7fd2\u3059\u308b\u304b\u2014\u2014 <math data-latex=\"\\epsilon\"><semantics><mi>\u03f5<\/mi><annotation encoding=\"application\/x-tex\">\\epsilon<\/annotation><\/semantics><\/math>\u4e88\u6e2c\u3068<math data-latex=\"x_0\"><semantics><msub><mi>x<\/mi><mn>0<\/mn><\/msub><annotation encoding=\"application\/x-tex\">x_0<\/annotation><\/semantics><\/math>\u4e88\u6e2c<\/p>\n\n\n\n<p>DDIM\u306b\u9650\u3089\u305a\u62e1\u6563\u30e2\u30c7\u30eb\u5168\u822c\u3067\u3001\u300c\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304c\u4f55\u3092\u5b66\u7fd2\u30bf\u30fc\u30b2\u30c3\u30c8\u306b\u3059\u308b\u304b\u300d\u306b\u306f2\u901a\u308a\u306e\u9078\u629e\u80a2\u304c\u3042\u308a\u307e\u3059\u3002\u3072\u3068\u3064\u306f\u30ce\u30a4\u30ba\u305d\u306e\u3082\u306e\u3092\u4e88\u6e2c\u3059\u308b <math data-latex=\"\\epsilon\"><semantics><mi>\u03f5<\/mi><annotation encoding=\"application\/x-tex\">\\epsilon<\/annotation><\/semantics><\/math> \u4e88\u6e2c\uff08DDPM\u306e\u539f\u8ad6\u6587\u6a19\u6e96\uff09\u3001\u3082\u3046\u3072\u3068\u3064\u306f\u5143\u306e\u30af\u30ea\u30fc\u30f3\u753b\u50cf\u3092\u76f4\u63a5\u4e88\u6e2c\u3059\u308b <math data-latex=\"x_0\"><semantics><msub><mi>x<\/mi><mn>0<\/mn><\/msub><annotation encoding=\"application\/x-tex\">x_0<\/annotation><\/semantics><\/math> \u4e88\u6e2c\u3067\u3059\u3002\u4e21\u8005\u306f\u6b21\u306e\u5f0f\u30671\u5bfe1\u306b\u66f8\u304d\u63db\u3048\u3089\u308c\u308b\u7b49\u4fa1\u306a\u95a2\u4fc2\u306b\u3042\u308a\u307e\u3059\uff1a<\/p>\n\n\n\n<div class=\"wp-block-math\"><math display=\"block\"><semantics><mrow><msub><mover><mi>x<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">^<\/mo><\/mover><mn>0<\/mn><\/msub><mo>=<\/mo><mfrac><mrow><msub><mi>x<\/mi><mi>t<\/mi><\/msub><mo>\u2212<\/mo><msqrt><mrow><mn>1<\/mn><mo>\u2212<\/mo><msub><mover><mi>\u03b1<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">\u203e<\/mo><\/mover><mi>t<\/mi><\/msub><\/mrow><\/msqrt><mo>\u22c5<\/mo><mover><mi>\u03f5<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">^<\/mo><\/mover><\/mrow><msqrt><msub><mover><mi>\u03b1<\/mi><mo stretchy=\"false\" class=\"tml-xshift\">\u203e<\/mo><\/mover><mi>t<\/mi><\/msub><\/msqrt><\/mfrac><\/mrow><annotation encoding=\"application\/x-tex\">\\hat{x}_0 = \\frac{x_t &#8211; \\sqrt{1-\\bar{\\alpha}_t}\\cdot\\hat{\\epsilon}}{\\sqrt{\\bar{\\alpha}_t}}<\/annotation><\/semantics><\/math><\/div>\n\n\n\n<p><math data-latex=\"x_0\"><semantics><msub><mi>x<\/mi><mn>0<\/mn><\/msub><annotation encoding=\"application\/x-tex\">x_0<\/annotation><\/semantics><\/math> \u4e88\u6e2c\u306e\u5b9f\u7528\u4e0a\u306e\u5229\u70b9\u306f\u3001\u640d\u5931\u95a2\u6570\u306e\u30bf\u30fc\u30b2\u30c3\u30c8\u304c\u30c7\u30fc\u30bf\u7a7a\u9593\uff08\u753b\u50cf\u7a7a\u9593\uff09\u306b\u76f4\u63a5\u3042\u308b\u3053\u3068\u3067\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30d4\u30af\u30bb\u30eb\u5358\u4f4d\u306eMSE\u306b\u52a0\u3048\u3066\u3001\u77e5\u899a\u640d\u5931\uff08LPIPS\uff09\u3084SSIM\u306a\u3069\u4eba\u9593\u306e\u611f\u899a\u306b\u6cbf\u3063\u305f\u640d\u5931\u3092\u81ea\u7136\u306a\u5f62\u3067\u7d44\u307f\u8fbc\u3081\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u751f\u6210\u30e2\u30c7\u30eb\u6700\u8fd1\u306e\u52d5\u5411<\/h2>\n\n\n\n<p>\u62e1\u6563\u30e2\u30c7\u30eb\u306f\u3001\u305d\u308c\u4ee5\u524d\u306eVAE\uff08\u5909\u5206\u30aa\u30fc\u30c8\u30a8\u30f3\u30b3\u30fc\u30c0\uff09\u3084GAN\uff08\u6575\u5bfe\u7684\u751f\u6210\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff09\u3068\u6bd4\u3079\u3066\u591a\u69d8\u306a\u30c7\u30fc\u30bf\u5206\u5e03\u3092\u5b89\u5b9a\u3057\u3066\u5b66\u7fd2\u3067\u304d\u308b\u5f37\u307f\u304c\u3042\u308a\u307e\u3059\u304c\u3001VAE\u3084GAN\u304c\u751f\u6210\u6642\u306b1\u30b9\u30c6\u30c3\u30d7\u3067\u753b\u50cf\u3092\u51fa\u529b\u3067\u304d\u308b\u306e\u306b\u5bfe\u3057\u3001DDIM\u3067\u3082\u63a8\u8ad6\u6642\u306b\u8907\u6570\u30b9\u30c6\u30c3\u30d7\u306e\u51e6\u7406\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u305d\u3053\u30672026\u5e742\u6708\u9803\u306b\u63d0\u6848\u3055\u308c\u305f\u306e\u304cDrifting Models\uff08Deng et al., 2026\uff09\u3067\u3059\u3002\u62e1\u6563\u30e2\u30c7\u30eb\u3084\u30d5\u30ed\u30fc\u30e2\u30c7\u30eb\u304c\u63a8\u8ad6\u6642\u306b\u7e70\u308a\u8fd4\u3057\u30b9\u30c6\u30c3\u30d7\u3092\u5fc5\u8981\u3068\u3059\u308b\u306e\u306b\u5bfe\u3057\u3001Drifting Models\u306f\u3053\u306e\u53cd\u5fa9\u51e6\u7406\u3092\u5b66\u7fd2\u6642\u306b\u5438\u53ce\u3059\u308b\u3053\u3068\u3067\u3001\u63a8\u8ad6\u3092\u308f\u305a\u304b1\u56de\u306e\u9806\u4f1d\u64ad\uff081-NFE: Number of Function Evaluations\uff09\u3067\u5b8c\u7d50\u3055\u305b\u308b\u3068\u3044\u3046\u65b0\u3057\u3044\u30d1\u30e9\u30c0\u30a4\u30e0\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\u3002ImageNet 256\u00d7256\u3067\u306e\u5b9f\u9a13\u3067\u306f\u30011-NFE\u3067\u6f5c\u5728\u7a7a\u9593FID 1.54\u30fb\u30d4\u30af\u30bb\u30eb\u7a7a\u9593FID 1.61\u3068\u3044\u3046\u5358\u4e00\u30b9\u30c6\u30c3\u30d7\u624b\u6cd5\u3068\u3057\u3066\u306e\u6700\u9ad8\u6c34\u6e96\u306e\u7d50\u679c\u3092\u5831\u544a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u305f\u3060\u30572026\u5e745\u6708\u73fe\u5728\u3001\u3053\u306e\u624b\u6cd5\u306farXiv\u4e0a\u306e\u30d7\u30ec\u30d7\u30ea\u30f3\u30c8\u6bb5\u968e\u3067\u3042\u308a\u3001\u67fb\u8aad\u3092\u7d4c\u305f\u8a55\u4fa1\u3084\u5e83\u7bc4\u306a\u6761\u4ef6\u3067\u306e\u518d\u73fe\u6027\u306f\u307e\u3060\u78ba\u7acb\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002\u307e\u305f\u300c\u62e1\u6563\u30e2\u30c7\u30eb\u4e26\u307f\u300d\u3068\u6bd4\u8f03\u3055\u308c\u3066\u3044\u308b\u306e\u3082\u7279\u5b9a\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u8a2d\u5b9a\u306b\u9650\u3089\u308c\u307e\u3059\u3002\u4eee\u306b\u305d\u306e\u6709\u52b9\u6027\u304c\u5e83\u304f\u8a8d\u3081\u3089\u308c\u305f\u5834\u5408\u3001DDIM\u3092\u306f\u3058\u3081\u3068\u3059\u308b\u30de\u30eb\u30c1\u30b9\u30c6\u30c3\u30d7\u624b\u6cd5\u306b\u4ee3\u308f\u308b\u9078\u629e\u80a2\u3068\u3057\u3066\u6ce8\u76ee\u3055\u308c\u308b\u53ef\u80fd\u6027\u306f\u3042\u308a\u307e\u3059\u304c\u3001\u73fe\u6642\u70b9\u3067\u306f\u300c\u62e1\u6563\u30e2\u30c7\u30eb\u304c\u904e\u53bb\u306e\u3082\u306e\u306b\u306a\u308b\u300d\u3068\u65ad\u8a00\u3067\u304d\u308b\u6bb5\u968e\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u307e\u3068\u3081<\/h2>\n\n\n\n<p>\u4eca\u56de\u306fDDPM\u3068DDIM\u306e\u9055\u3044\u3001\u304a\u3088\u3073DDIM\u304c\u306a\u305c\u9ad8\u901f\u5316\u3067\u304d\u308b\u306e\u304b\u306b\u3064\u3044\u3066\u3001\u6700\u5c0f\u9650\u306e\u6570\u5f0f\u3092\u4ea4\u3048\u306a\u304c\u3089\u76f4\u611f\u7684\u306b\u89e3\u8aac\u3057\u307e\u3057\u305f\u3002DDIM\u306e\u672c\u8cea\u306f\u30de\u30eb\u30b3\u30d5\u6027\u306e\u4eee\u5b9a\u3092\u5916\u3059\u3053\u3068\u306b\u3088\u308b\u300c\u30b9\u30c6\u30c3\u30d7\u306e\u30b9\u30ad\u30c3\u30d7\u300d\u306b\u3042\u308a\u3001\u540c\u3058\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u3092\u305d\u306e\u307e\u307e\u5229\u7528\u3067\u304d\u308b\u70b9\u304c\u5b9f\u7528\u4e0a\u306e\u5927\u304d\u306a\u5f37\u307f\u3067\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8fd1\u5e74\u3001Stable Diffusion\u306b\u4ee3\u8868\u3055\u308c\u308b\u753b\u50cf\u751f\u6210\u306e\u80fd\u529b\u304c\u98db\u8e8d\u7684\u306a\u9032\u6b69\u3092\u9042\u3052\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u6839\u5e79\u3068\u306a\u308b\u6280\u8853\u3068\u3057\u3066\u300c\u62e1\u6563\u78ba\u7387\u30e2\u30c7\u30eb\uff08Diffusion Probabilistic Model\uff09\u300d\u304c\u4f7f\u308f\u308c\u3066\u3044\u307e\u3059\u3002\u62e1\u6563 [&hellip;]<\/p>\n","protected":false},"author":81,"featured_media":7517,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","swell_btn_cv_data":"","footnotes":"","_wp_rev_ctl_limit":""},"categories":[1251,1249],"tags":[419,1284,309],"class_list":["post-8511","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-analysis","category-knowledge","tag-419","tag-1284","tag-ai"],"_links":{"self":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts\/8511","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/users\/81"}],"replies":[{"embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/comments?post=8511"}],"version-history":[{"count":3,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts\/8511\/revisions"}],"predecessor-version":[{"id":8514,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/posts\/8511\/revisions\/8514"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/media\/7517"}],"wp:attachment":[{"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/media?parent=8511"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/categories?post=8511"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/since2020.jp\/media\/wp-json\/wp\/v2\/tags?post=8511"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}