{"id":479505,"date":"2023-08-09T10:41:18","date_gmt":"2023-08-09T10:41:18","guid":{"rendered":""},"modified":"2023-09-05T11:18:58","modified_gmt":"2023-09-05T11:18:58","slug":"vector-quantized-generative-adversarial-network-vqgan","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/vector-quantized-generative-adversarial-network-vqgan\/","title":{"rendered":"M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 (VQGAN)"},"content":{"rendered":"

M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 (VQGAN) l\u00e0 m\u1ed9t m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u m\u1ea1nh m\u1ebd v\u00e0 s\u00e1ng t\u1ea1o, k\u1ebft h\u1ee3p c\u00e1c y\u1ebfu t\u1ed1 t\u1eeb hai k\u1ef9 thu\u1eadt h\u1ecdc m\u00e1y ph\u1ed5 bi\u1ebfn: M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o (GAN) v\u00e0 L\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 (VQ). VQGAN \u0111\u00e3 thu h\u00fat \u0111\u01b0\u1ee3c s\u1ef1 ch\u00fa \u00fd \u0111\u00e1ng k\u1ec3 trong c\u1ed9ng \u0111\u1ed3ng nghi\u00ean c\u1ee9u tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o nh\u1edd kh\u1ea3 n\u0103ng t\u1ea1o ra h\u00ecnh \u1ea3nh m\u1ea1ch l\u1ea1c v\u00e0 ch\u1ea5t l\u01b0\u1ee3ng cao, khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh c\u00f4ng c\u1ee5 \u0111\u1ea7y h\u1ee9a h\u1eb9n cho nhi\u1ec1u \u1ee9ng d\u1ee5ng kh\u00e1c nhau, bao g\u1ed3m t\u1ed5ng h\u1ee3p h\u00ecnh \u1ea3nh, chuy\u1ec3n giao phong c\u00e1ch v\u00e0 t\u1ea1o n\u1ed9i dung s\u00e1ng t\u1ea1o.<\/p>\n

L\u1ecbch s\u1eed v\u1ec1 ngu\u1ed3n g\u1ed1c c\u1ee7a M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a Vector (VQGAN) v\u00e0 l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u1ec1 c\u1eadp \u0111\u1ebfn n\u00f3.<\/h2>\n

Kh\u00e1i ni\u1ec7m GAN \u0111\u01b0\u1ee3c Ian Goodfellow v\u00e0 c\u00e1c \u0111\u1ed3ng nghi\u1ec7p c\u1ee7a \u00f4ng gi\u1edbi thi\u1ec7u l\u1ea7n \u0111\u1ea7u ti\u00ean v\u00e0o n\u0103m 2014. GAN l\u00e0 c\u00e1c m\u00f4 h\u00ecnh t\u1ed5ng qu\u00e1t bao g\u1ed3m hai m\u1ea1ng th\u1ea7n kinh, b\u1ed9 t\u1ea1o v\u00e0 b\u1ed9 ph\u00e2n bi\u1ec7t \u0111\u1ed1i x\u1eed, ch\u01a1i tr\u00f2 ch\u01a1i minimax \u0111\u1ec3 t\u1ea1o ra d\u1eef li\u1ec7u t\u1ed5ng h\u1ee3p th\u1ef1c t\u1ebf. M\u1eb7c d\u00f9 GAN \u0111\u00e3 cho th\u1ea5y k\u1ebft qu\u1ea3 \u1ea5n t\u01b0\u1ee3ng trong vi\u1ec7c t\u1ea1o h\u00ecnh \u1ea3nh nh\u01b0ng ch\u00fang c\u00f3 th\u1ec3 g\u1eb7p ph\u1ea3i c\u00e1c v\u1ea5n \u0111\u1ec1 nh\u01b0 s\u1eadp ch\u1ebf \u0111\u1ed9 v\u00e0 thi\u1ebfu ki\u1ec3m so\u00e1t \u0111\u1ed1i v\u1edbi \u0111\u1ea7u ra \u0111\u01b0\u1ee3c t\u1ea1o.<\/p>\n

V\u00e0o n\u0103m 2020, c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u t\u1eeb DeepMind \u0111\u00e3 gi\u1edbi thi\u1ec7u m\u00f4 h\u00ecnh B\u1ed9 m\u00e3 h\u00f3a t\u1ef1 \u0111\u1ed9ng bi\u1ebfn thi\u00ean l\u01b0\u1ee3ng t\u1eed h\u00f3a Vector (VQ-VAE). VQ-VAE l\u00e0 m\u1ed9t bi\u1ebfn th\u1ec3 c\u1ee7a m\u00f4 h\u00ecnh B\u1ed9 m\u00e3 h\u00f3a t\u1ef1 \u0111\u1ed9ng bi\u1ebfn \u0111\u1ed5i (VAE) k\u1ebft h\u1ee3p l\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 \u0111\u1ec3 t\u1ea1o ra c\u00e1c bi\u1ec3u di\u1ec5n r\u1eddi r\u1ea1c v\u00e0 nh\u1ecf g\u1ecdn c\u1ee7a d\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o. \u0110\u00e2y l\u00e0 m\u1ed9t b\u01b0\u1edbc quan tr\u1ecdng h\u01b0\u1edbng t\u1edbi s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a VQGAN.<\/p>\n

Sau \u0111\u00f3, c\u00f9ng n\u0103m \u0111\u00f3, m\u1ed9t nh\u00f3m c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u do Ali Razavi d\u1eabn \u0111\u1ea7u \u0111\u00e3 gi\u1edbi thi\u1ec7u VQGAN. M\u00f4 h\u00ecnh n\u00e0y k\u1ebft h\u1ee3p s\u1ee9c m\u1ea1nh c\u1ee7a GAN v\u00e0 k\u1ef9 thu\u1eadt l\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 t\u1eeb VQ-VAE \u0111\u1ec3 t\u1ea1o ra h\u00ecnh \u1ea3nh v\u1edbi ch\u1ea5t l\u01b0\u1ee3ng, \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh v\u00e0 kh\u1ea3 n\u0103ng ki\u1ec3m so\u00e1t \u0111\u01b0\u1ee3c c\u1ea3i thi\u1ec7n. VQGAN \u0111\u00e3 tr\u1edf th\u00e0nh m\u1ed9t b\u01b0\u1edbc ti\u1ebfn \u0111\u1ed9t ph\u00e1 trong l\u0129nh v\u1ef1c m\u00f4 h\u00ecnh s\u00e1ng t\u1ea1o.<\/p>\n

Th\u00f4ng tin chi ti\u1ebft v\u1ec1 M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a Vector (VQGAN). M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1 M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a Vector (VQGAN).<\/h2>\n

C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a Vector (VQGAN)<\/h3>\n

VQGAN bao g\u1ed3m m\u1ed9t tr\u00ecnh t\u1ea1o v\u00e0 m\u1ed9t tr\u00ecnh ph\u00e2n bi\u1ec7t \u0111\u1ed1i x\u1eed, gi\u1ed1ng nh\u01b0 GAN truy\u1ec1n th\u1ed1ng. Tr\u00ecnh t\u1ea1o l\u1ea5y nhi\u1ec5u ng\u1eabu nhi\u00ean l\u00e0m \u0111\u1ea7u v\u00e0o v\u00e0 c\u1ed1 g\u1eafng t\u1ea1o ra h\u00ecnh \u1ea3nh th\u1ef1c t\u1ebf, trong khi b\u1ed9 ph\u00e2n bi\u1ec7t nh\u1eb1m m\u1ee5c \u0111\u00edch ph\u00e2n bi\u1ec7t gi\u1eefa h\u00ecnh \u1ea3nh th\u1ef1c v\u00e0 h\u00ecnh \u1ea3nh \u0111\u01b0\u1ee3c t\u1ea1o.<\/p>\n

S\u1ef1 \u0111\u1ed5i m\u1edbi quan tr\u1ecdng trong VQGAN n\u1eb1m \u1edf ki\u1ebfn tr\u00fac b\u1ed9 m\u00e3 h\u00f3a c\u1ee7a n\u00f3. Thay v\u00ec s\u1eed d\u1ee5ng c\u00e1c bi\u1ec3u di\u1ec5n li\u00ean t\u1ee5c, b\u1ed9 m\u00e3 h\u00f3a \u00e1nh x\u1ea1 c\u00e1c h\u00ecnh \u1ea3nh \u0111\u1ea7u v\u00e0o th\u00e0nh c\u00e1c m\u00e3 ti\u1ec1m \u1ea9n ri\u00eang bi\u1ec7t, bi\u1ec3u th\u1ecb c\u00e1c ph\u1ea7n t\u1eed kh\u00e1c nhau c\u1ee7a h\u00ecnh \u1ea3nh. C\u00e1c m\u00e3 r\u1eddi r\u1ea1c n\u00e0y sau \u0111\u00f3 \u0111\u01b0\u1ee3c chuy\u1ec3n qua m\u1ed9t s\u1ed5 m\u00e3 ch\u1ee9a t\u1eadp h\u1ee3p c\u00e1c ph\u1ea7n nh\u00fang ho\u1eb7c vect\u01a1 \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh tr\u01b0\u1edbc. Vi\u1ec7c nh\u00fang g\u1ea7n nh\u1ea5t v\u00e0o s\u1ed5 m\u00e3 s\u1ebd thay th\u1ebf m\u00e3 g\u1ed1c, d\u1eabn \u0111\u1ebfn bi\u1ec3u di\u1ec5n l\u01b0\u1ee3ng t\u1eed h\u00f3a. Qu\u00e1 tr\u00ecnh n\u00e0y \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 l\u01b0\u1ee3ng t\u1eed h\u00f3a vector.<\/p>\n

Trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o, b\u1ed9 m\u00e3 h\u00f3a, b\u1ed9 t\u1ea1o v\u00e0 b\u1ed9 ph\u00e2n bi\u1ec7t ph\u1ed1i h\u1ee3p \u0111\u1ec3 gi\u1ea3m thi\u1ec3u t\u1ed5n th\u1ea5t t\u00e1i t\u1ea1o v\u00e0 m\u1ea5t m\u00e1t \u0111\u1ed1i ngh\u1ecbch, \u0111\u1ea3m b\u1ea3o t\u1ea1o ra h\u00ecnh \u1ea3nh ch\u1ea5t l\u01b0\u1ee3ng cao gi\u1ed1ng v\u1edbi d\u1eef li\u1ec7u \u0111\u00e0o t\u1ea1o. Vi\u1ec7c VQGAN s\u1eed d\u1ee5ng c\u00e1c m\u00e3 ti\u1ec1m \u1ea9n ri\u00eang bi\u1ec7t gi\u00fap t\u0103ng c\u01b0\u1eddng kh\u1ea3 n\u0103ng n\u1eafm b\u1eaft c\u00e1c c\u1ea5u tr\u00fac c\u00f3 \u00fd ngh\u0129a v\u00e0 cho ph\u00e9p t\u1ea1o ra h\u00ecnh \u1ea3nh \u0111\u01b0\u1ee3c ki\u1ec3m so\u00e1t t\u1ed1t h\u01a1n.<\/p>\n

C\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a Vector (VQGAN)<\/h3>\n
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    M\u00e3 ti\u1ec1m \u1ea9n r\u1eddi r\u1ea1c<\/strong>: VQGAN s\u1eed d\u1ee5ng c\u00e1c m\u00e3 ti\u1ec1m \u1ea9n ri\u00eang bi\u1ec7t, cho ph\u00e9p n\u00f3 t\u1ea1o ra c\u00e1c \u0111\u1ea7u ra h\u00ecnh \u1ea3nh \u0111a d\u1ea1ng v\u00e0 c\u00f3 ki\u1ec3m so\u00e1t.<\/p>\n<\/li>\n

  2. \n

    C\u1ea5u tr\u00fac ph\u00e2n c\u1ea5p<\/strong>: S\u00e1ch m\u00e3 c\u1ee7a m\u00f4 h\u00ecnh gi\u1edbi thi\u1ec7u c\u1ea5u tr\u00fac ph\u00e2n c\u1ea5p gi\u00fap n\u00e2ng cao qu\u00e1 tr\u00ecnh h\u1ecdc bi\u1ec3u di\u1ec5n.<\/p>\n<\/li>\n

  3. \n

    S\u1ef1 \u1ed5n \u0111\u1ecbnh<\/strong>: VQGAN gi\u1ea3i quy\u1ebft m\u1ed9t s\u1ed1 v\u1ea5n \u0111\u1ec1 kh\u00f4ng \u1ed5n \u0111\u1ecbnh \u0111\u01b0\u1ee3c quan s\u00e1t th\u1ea5y trong GAN truy\u1ec1n th\u1ed1ng, gi\u00fap qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o di\u1ec5n ra su\u00f4n s\u1ebb v\u00e0 nh\u1ea5t qu\u00e1n h\u01a1n.<\/p>\n<\/li>\n

  4. \n

    T\u1ea1o h\u00ecnh \u1ea3nh ch\u1ea5t l\u01b0\u1ee3ng cao<\/strong>: VQGAN c\u00f3 th\u1ec3 t\u1ea1o ra h\u00ecnh \u1ea3nh c\u00f3 \u0111\u1ed9 ph\u00e2n gi\u1ea3i cao, h\u1ea5p d\u1eabn v\u1ec1 m\u1eb7t h\u00ecnh \u1ea3nh v\u1edbi \u0111\u1ed9 chi ti\u1ebft v\u00e0 m\u1ea1ch l\u1ea1c \u1ea5n t\u01b0\u1ee3ng.<\/p>\n<\/li>\n<\/ol>\n

    C\u00e1c lo\u1ea1i M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 (VQGAN)<\/h2>\n

    VQGAN \u0111\u00e3 ph\u00e1t tri\u1ec3n k\u1ec3 t\u1eeb khi th\u00e0nh l\u1eadp v\u00e0 m\u1ed9t s\u1ed1 bi\u1ebfn th\u1ec3 v\u00e0 c\u1ea3i ti\u1ebfn \u0111\u00e3 \u0111\u01b0\u1ee3c \u0111\u1ec1 xu\u1ea5t. M\u1ed9t s\u1ed1 lo\u1ea1i VQGAN \u0111\u00e1ng ch\u00fa \u00fd bao g\u1ed3m:<\/p>\n\n\n\n\n\n\n\n
    Ki\u1ec3u<\/th>\nS\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n
    VQ-VAE-2<\/td>\nM\u1ed9t ph\u1ea7n m\u1edf r\u1ed9ng c\u1ee7a VQ-VAE v\u1edbi kh\u1ea3 n\u0103ng l\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 \u0111\u01b0\u1ee3c c\u1ea3i thi\u1ec7n.<\/td>\n<\/tr>\n
    VQGAN+CLIP<\/td>\nK\u1ebft h\u1ee3p VQGAN v\u1edbi m\u00f4 h\u00ecnh CLIP \u0111\u1ec3 ki\u1ec3m so\u00e1t h\u00ecnh \u1ea3nh t\u1ed1t h\u01a1n.<\/td>\n<\/tr>\n
    M\u00f4 h\u00ecnh khu\u1ebfch t\u00e1n<\/td>\nT\u00edch h\u1ee3p c\u00e1c m\u00f4 h\u00ecnh khu\u1ebfch t\u00e1n \u0111\u1ec3 t\u1ed5ng h\u1ee3p h\u00ecnh \u1ea3nh ch\u1ea5t l\u01b0\u1ee3ng cao.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    C\u00e1c c\u00e1ch s\u1eed d\u1ee5ng M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 (VQGAN), c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng.<\/h2>\n

    Vi\u1ec7c s\u1eed d\u1ee5ng M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 (VQGAN)<\/h3>\n
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      T\u1ed5ng h\u1ee3p h\u00ecnh \u1ea3nh<\/strong>: VQGAN c\u00f3 th\u1ec3 t\u1ea1o ra h\u00ecnh \u1ea3nh ch\u00e2n th\u1ef1c v\u00e0 \u0111a d\u1ea1ng, h\u1eefu \u00edch cho vi\u1ec7c t\u1ea1o n\u1ed9i dung, ngh\u1ec7 thu\u1eadt v\u00e0 thi\u1ebft k\u1ebf s\u00e1ng t\u1ea1o.<\/p>\n<\/li>\n

    2. \n

      Chuy\u1ec3n phong c\u00e1ch<\/strong>: B\u1eb1ng c\u00e1ch thao t\u00e1c v\u1edbi c\u00e1c m\u00e3 ti\u1ec1m \u1ea9n, VQGAN c\u00f3 th\u1ec3 th\u1ef1c hi\u1ec7n chuy\u1ec3n ki\u1ec3u, thay \u0111\u1ed5i di\u1ec7n m\u1ea1o c\u1ee7a h\u00ecnh \u1ea3nh trong khi v\u1eabn gi\u1eef nguy\u00ean c\u1ea5u tr\u00fac c\u1ee7a ch\u00fang.<\/p>\n<\/li>\n

    3. \n

      T\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u<\/strong>: VQGAN c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 t\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u \u0111\u00e0o t\u1ea1o cho c\u00e1c nhi\u1ec7m v\u1ee5 th\u1ecb gi\u00e1c m\u00e1y t\u00ednh kh\u00e1c, c\u1ea3i thi\u1ec7n t\u00ednh kh\u00e1i qu\u00e1t h\u00f3a c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y.<\/p>\n<\/li>\n<\/ol>\n

      V\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p<\/h3>\n
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        \u0110\u00e0o t\u1ea1o kh\u00f4ng \u1ed5n \u0111\u1ecbnh<\/strong>: Gi\u1ed1ng nh\u01b0 nhi\u1ec1u m\u00f4 h\u00ecnh deep learning, VQGAN c\u00f3 th\u1ec3 g\u1eb7p ph\u1ea3i t\u00ecnh tr\u1ea1ng m\u1ea5t \u1ed5n \u0111\u1ecbnh trong qu\u00e1 tr\u00ecnh hu\u1ea5n luy\u1ec7n, d\u1eabn \u0111\u1ebfn s\u1eadp ch\u1ebf \u0111\u1ed9 ho\u1eb7c \u0111\u1ed9 h\u1ed9i t\u1ee5 k\u00e9m. C\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u \u0111\u00e3 gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 n\u00e0y b\u1eb1ng c\u00e1ch \u0111i\u1ec1u ch\u1ec9nh c\u00e1c si\u00eau tham s\u1ed1, s\u1eed d\u1ee5ng c\u00e1c k\u1ef9 thu\u1eadt ch\u00ednh quy h\u00f3a v\u00e0 gi\u1edbi thi\u1ec7u c\u00e1c c\u1ea3i ti\u1ebfn v\u1ec1 ki\u1ebfn tr\u00fac.<\/p>\n<\/li>\n

      2. \n

        K\u00edch th\u01b0\u1edbc s\u1ed5 m\u00e3<\/strong>: K\u00edch th\u01b0\u1edbc c\u1ee7a s\u1ed5 m\u00e3 c\u00f3 th\u1ec3 t\u00e1c \u0111\u1ed9ng \u0111\u00e1ng k\u1ec3 \u0111\u1ebfn y\u00eau c\u1ea7u b\u1ed9 nh\u1edb v\u00e0 th\u1eddi gian hu\u1ea5n luy\u1ec7n c\u1ee7a m\u00f4 h\u00ecnh. C\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u \u0111\u00e3 kh\u00e1m ph\u00e1 c\u00e1c ph\u01b0\u01a1ng ph\u00e1p \u0111\u1ec3 t\u1ed1i \u01b0u h\u00f3a k\u00edch th\u01b0\u1edbc s\u00e1ch m\u00e3 m\u00e0 kh\u00f4ng l\u00e0m gi\u1ea3m ch\u1ea5t l\u01b0\u1ee3ng h\u00ecnh \u1ea3nh.<\/p>\n<\/li>\n

      3. \n

        Kh\u1ea3 n\u0103ng ki\u1ec3m so\u00e1t<\/strong>: M\u1eb7c d\u00f9 VQGAN cho ph\u00e9p ki\u1ec3m so\u00e1t \u1edf m\u1ed9t m\u1ee9c \u0111\u1ed9 n\u00e0o \u0111\u00f3 \u0111\u1ed1i v\u1edbi vi\u1ec7c t\u1ea1o h\u00ecnh \u1ea3nh nh\u01b0ng vi\u1ec7c \u0111\u1ea1t \u0111\u01b0\u1ee3c kh\u1ea3 n\u0103ng ki\u1ec3m so\u00e1t ch\u00ednh x\u00e1c v\u1eabn c\u00f2n nhi\u1ec1u th\u00e1ch th\u1ee9c. C\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u \u0111ang t\u00edch c\u1ef1c nghi\u00ean c\u1ee9u c\u00e1c ph\u01b0\u01a1ng ph\u00e1p \u0111\u1ec3 c\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng ki\u1ec3m so\u00e1t c\u1ee7a m\u00f4 h\u00ecnh.<\/p>\n<\/li>\n<\/ol>\n

        C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 c\u00e1c so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1 d\u01b0\u1edbi d\u1ea1ng b\u1ea3ng v\u00e0 danh s\u00e1ch.<\/h2>\n

        So s\u00e1nh v\u1edbi GAN v\u00e0 VAE truy\u1ec1n th\u1ed1ng<\/h3>\n\n\n\n\n\n\n\n\n
        \u0111\u1eb7c tr\u01b0ng<\/th>\nVQGAN<\/th>\nGAN truy\u1ec1n th\u1ed1ng<\/th>\nVAE<\/th>\n<\/tr>\n<\/thead>\n
        Bi\u1ec3u di\u1ec5n kh\u00f4ng gian ti\u1ec1m \u1ea9n<\/td>\nM\u00e3 r\u1eddi r\u1ea1c<\/td>\nGi\u00e1 tr\u1ecb li\u00ean t\u1ee5c<\/td>\nGi\u00e1 tr\u1ecb li\u00ean t\u1ee5c<\/td>\n<\/tr>\n
        Ch\u1ea5t l\u01b0\u1ee3ng h\u00ecnh \u1ea3nh<\/td>\nCh\u1ea5t l\u01b0\u1ee3ng cao<\/td>\nCh\u1ea5t l\u01b0\u1ee3ng \u0111a d\u1ea1ng<\/td>\nCh\u1ea5t l\u01b0\u1ee3ng v\u1eeba ph\u1ea3i<\/td>\n<\/tr>\n
        Thu g\u1ecdn ch\u1ebf \u0111\u1ed9<\/td>\nGi\u1ea3m<\/td>\nD\u1ec5 b\u1ecb s\u1ee5p \u0111\u1ed5<\/td>\nKh\u00f4ng \u00e1p d\u1ee5ng<\/td>\n<\/tr>\n
        Kh\u1ea3 n\u0103ng ki\u1ec3m so\u00e1t<\/td>\nKi\u1ec3m so\u00e1t \u0111\u01b0\u1ee3c c\u1ea3i thi\u1ec7n<\/td>\nKi\u1ec3m so\u00e1t h\u1ea1n ch\u1ebf<\/td>\nKi\u1ec3m so\u00e1t t\u1ed1t<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        So s\u00e1nh v\u1edbi c\u00e1c m\u00f4 h\u00ecnh s\u00e1ng t\u1ea1o kh\u00e1c<\/h3>\n\n\n\n\n\n\n\n
        Ng\u01b0\u1eddi m\u1eabu<\/th>\n\u0110\u1eb7c tr\u01b0ng<\/th>\nC\u00e1c \u1ee9ng d\u1ee5ng<\/th>\n<\/tr>\n<\/thead>\n
        VQ-VAE<\/td>\nS\u1eed d\u1ee5ng l\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 trong khung b\u1ed9 m\u00e3 h\u00f3a t\u1ef1 \u0111\u1ed9ng bi\u1ebfn thi\u00ean.<\/td>\nN\u00e9n h\u00ecnh \u1ea3nh, bi\u1ec3u di\u1ec5n d\u1eef li\u1ec7u.<\/td>\n<\/tr>\n
        K\u1eb8P<\/td>\nM\u00f4 h\u00ecnh \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc v\u1ec1 T\u1ea7m nh\u00ecn v\u00e0 Ng\u00f4n ng\u1eef.<\/td>\nCh\u00fa th\u00edch h\u00ecnh \u1ea3nh, t\u1ea1o v\u0103n b\u1ea3n th\u00e0nh h\u00ecnh \u1ea3nh.<\/td>\n<\/tr>\n
        M\u00f4 h\u00ecnh khu\u1ebfch t\u00e1n<\/td>\nC\u00e1c m\u00f4 h\u00ecnh x\u00e1c su\u1ea5t \u0111\u1ec3 t\u1ed5ng h\u1ee3p h\u00ecnh \u1ea3nh.<\/td>\nT\u1ea1o h\u00ecnh \u1ea3nh ch\u1ea5t l\u01b0\u1ee3ng cao.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        C\u00e1c quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a vect\u01a1 (VQGAN).<\/h2>\n

        VQGAN \u0111\u00e3 cho th\u1ea5y ti\u1ec1m n\u0103ng v\u01b0\u1ee3t tr\u1ed9i trong nhi\u1ec1u \u1ee9ng d\u1ee5ng s\u00e1ng t\u1ea1o kh\u00e1c nhau v\u00e0 t\u01b0\u01a1ng lai c\u1ee7a n\u00f3 c\u00f3 v\u1ebb \u0111\u1ea7y h\u1ee9a h\u1eb9n. M\u1ed9t s\u1ed1 ph\u00e1t tri\u1ec3n v\u00e0 c\u00f4ng ngh\u1ec7 ti\u1ec1m n\u0103ng trong t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn VQGAN bao g\u1ed3m:<\/p>\n

          \n
        1. \n

          C\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng ki\u1ec3m so\u00e1t<\/strong>: Nh\u1eefng ti\u1ebfn b\u1ed9 trong nghi\u00ean c\u1ee9u c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn vi\u1ec7c ki\u1ec3m so\u00e1t h\u00ecnh \u1ea3nh \u0111\u01b0\u1ee3c t\u1ea1o ra m\u1ed9t c\u00e1ch ch\u00ednh x\u00e1c v\u00e0 tr\u1ef1c quan h\u01a1n, m\u1edf ra nh\u1eefng kh\u1ea3 n\u0103ng m\u1edbi cho vi\u1ec7c th\u1ec3 hi\u1ec7n ngh\u1ec7 thu\u1eadt.<\/p>\n<\/li>\n

        2. \n

          Th\u1ebf h\u1ec7 \u0111a ph\u01b0\u01a1ng th\u1ee9c<\/strong>: C\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u \u0111ang t\u00ecm c\u00e1ch cho ph\u00e9p VQGAN t\u1ea1o ra h\u00ecnh \u1ea3nh theo nhi\u1ec1u phong c\u00e1ch ho\u1eb7c ph\u01b0\u01a1ng th\u1ee9c, cho ph\u00e9p t\u1ea1o ra c\u00e1c k\u1ebft qu\u1ea3 \u0111\u1ea7u ra \u0111a d\u1ea1ng v\u00e0 s\u00e1ng t\u1ea1o h\u01a1n n\u1eefa.<\/p>\n<\/li>\n

        3. \n

          T\u1ea1o th\u1eddi gian th\u1ef1c<\/strong>: Khi c\u00e1c k\u1ef9 thu\u1eadt ph\u1ea7n c\u1ee9ng v\u00e0 t\u1ed1i \u01b0u h\u00f3a ti\u1ebfn b\u1ed9, vi\u1ec7c t\u1ea1o h\u00ecnh \u1ea3nh theo th\u1eddi gian th\u1ef1c b\u1eb1ng VQGAN c\u00f3 th\u1ec3 tr\u1edf n\u00ean kh\u1ea3 thi h\u01a1n, t\u1ea1o \u0111i\u1ec1u ki\u1ec7n cho c\u00e1c \u1ee9ng d\u1ee5ng t\u01b0\u01a1ng t\u00e1c.<\/p>\n<\/li>\n<\/ol>\n

          C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft c\u00e1c m\u00e1y ch\u1ee7 proxy v\u1edbi M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a Vector (VQGAN).<\/h2>\n

          M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c h\u1ed7 tr\u1ee3 s\u1eed d\u1ee5ng VQGAN, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong c\u00e1c t\u00ecnh hu\u1ed1ng li\u00ean quan \u0111\u1ebfn vi\u1ec7c x\u1eed l\u00fd d\u1eef li\u1ec7u v\u00e0 t\u1ea1o h\u00ecnh \u1ea3nh quy m\u00f4 l\u1edbn. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 c\u00e1ch c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi VQGAN:<\/p>\n

            \n
          1. \n

            Thu th\u1eadp v\u00e0 ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 gi\u00fap thu th\u1eadp v\u00e0 x\u1eed l\u00fd tr\u01b0\u1edbc d\u1eef li\u1ec7u h\u00ecnh \u1ea3nh t\u1eeb nhi\u1ec1u ngu\u1ed3n kh\u00e1c nhau, \u0111\u1ea3m b\u1ea3o b\u1ed9 d\u1eef li\u1ec7u \u0111a d\u1ea1ng v\u00e0 mang t\u00ednh \u0111\u1ea1i di\u1ec7n cho vi\u1ec7c \u0111\u00e0o t\u1ea1o VQGAN.<\/p>\n<\/li>\n

          2. \n

            Ti\u1ebfn tr\u00ecnh song song<\/strong>: Vi\u1ec7c \u0111\u00e0o t\u1ea1o VQGAN tr\u00ean c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn c\u00f3 th\u1ec3 \u0111\u00f2i h\u1ecfi t\u00ednh to\u00e1n chuy\u00ean s\u00e2u. M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 ph\u00e2n ph\u1ed1i kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c tr\u00ean nhi\u1ec1u m\u00e1y, \u0111\u1ea9y nhanh qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o.<\/p>\n<\/li>\n

          3. \n

            \u0110i\u1ec3m cu\u1ed1i API<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u00f3ng vai tr\u00f2 l\u00e0 \u0111i\u1ec3m cu\u1ed1i API \u0111\u1ec3 tri\u1ec3n khai c\u00e1c m\u00f4 h\u00ecnh VQGAN, cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng t\u01b0\u01a1ng t\u00e1c v\u1edbi m\u00f4 h\u00ecnh t\u1eeb xa v\u00e0 t\u1ea1o h\u00ecnh \u1ea3nh theo y\u00eau c\u1ea7u.<\/p>\n<\/li>\n<\/ol>\n

            Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n

            \u0110\u1ec3 bi\u1ebft th\u00eam th\u00f4ng tin v\u1ec1 M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a Vector (VQGAN) v\u00e0 c\u00e1c ch\u1ee7 \u0111\u1ec1 li\u00ean quan, vui l\u00f2ng tham kh\u1ea3o c\u00e1c t\u00e0i nguy\u00ean sau:<\/p>\n

              \n
            1. \n

              Blog DeepMind \u2013 Gi\u1edbi thi\u1ec7u VQ-VAE-2<\/a><\/p>\n<\/li>\n

            2. \n

              arXiv \u2013 VQ-VAE-2: C\u1ea3i thi\u1ec7n vi\u1ec7c \u0111\u00e0o t\u1ea1o bi\u1ebfn ti\u1ec1m \u1ea9n r\u1eddi r\u1ea1c cho GAN v\u00e0 VAE<\/a><\/p>\n<\/li>\n

            3. \n

              GitHub \u2013 Tri\u1ec3n khai VQ-VAE-2<\/a><\/p>\n<\/li>\n

            4. \n

              OpenAI \u2013 CLIP: K\u1ebft n\u1ed1i v\u0103n b\u1ea3n v\u00e0 h\u00ecnh \u1ea3nh<\/a><\/p>\n<\/li>\n

            5. \n

              arXiv \u2013 CLIP: K\u1ebft n\u1ed1i v\u0103n b\u1ea3n v\u00e0 h\u00ecnh \u1ea3nh \u1edf quy m\u00f4 l\u1edbn<\/a><\/p>\n<\/li>\n<\/ol>\n

              B\u1eb1ng c\u00e1ch kh\u00e1m ph\u00e1 nh\u1eefng t\u00e0i nguy\u00ean n\u00e0y, b\u1ea1n c\u00f3 th\u1ec3 hi\u1ec3u s\u00e2u h\u01a1n v\u1ec1 M\u1ea1ng \u0111\u1ed1i th\u1ee7 t\u1ea1o ra l\u01b0\u1ee3ng t\u1eed h\u00f3a Vector (VQGAN) v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng c\u1ee7a n\u00f3 trong th\u1ebf gi\u1edbi tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 t\u1ea1o n\u1ed9i dung s\u00e1ng t\u1ea1o.<\/p>","protected":false},"featured_media":470817,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479505","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Vector Quantized Generative Adversarial Network (VQGAN)<\/mark>","faq_items":[{"question":"What is Vector Quantized Generative Adversarial Network (VQGAN)?","answer":"

              Vector Quantized Generative Adversarial Network (VQGAN) is an advanced deep learning model that combines Generative Adversarial Networks (GANs) and Vector Quantization (VQ) techniques. It excels in generating high-quality images and offers improved control over the creative content generation process.<\/p>"},{"question":"How does VQGAN work?","answer":"

              VQGAN consists of a generator and a discriminator, similar to traditional GANs. The key innovation lies in its encoder architecture, which maps input images to discrete latent codes. These codes are then quantized using a predefined set of embeddings in a codebook. The model is trained to minimize reconstruction and adversarial losses, resulting in realistic and visually appealing image synthesis.<\/p>"},{"question":"What are the key features of VQGAN?","answer":"