{"id":4185,"date":"2026-04-23T21:00:15","date_gmt":"2026-04-23T13:00:15","guid":{"rendered":"https:\/\/1ow.top\/index.php\/2026\/04\/23\/%e5%8d%8a%e5%a3%81%e5%8d%8e%e4%ba%ba%ef%bc%81gpt-image-2%e5%9b%a2%e9%98%9f%e6%9b%9d%e5%85%89%ef%bc%9a%e6%97%a0%e9%94%a1%e6%89%8d%e4%bf%8a%e5%b8%a6%e9%98%9f%ef%bc%8c13%e4%ba%ba4%e4%b8%aa%e6%9c%88\/"},"modified":"2026-04-23T21:00:15","modified_gmt":"2026-04-23T13:00:15","slug":"%e5%8d%8a%e5%a3%81%e5%8d%8e%e4%ba%ba%ef%bc%81gpt-image-2%e5%9b%a2%e9%98%9f%e6%9b%9d%e5%85%89%ef%bc%9a%e6%97%a0%e9%94%a1%e6%89%8d%e4%bf%8a%e5%b8%a6%e9%98%9f%ef%bc%8c13%e4%ba%ba4%e4%b8%aa%e6%9c%88","status":"publish","type":"post","link":"https:\/\/1ow.top\/index.php\/2026\/04\/23\/%e5%8d%8a%e5%a3%81%e5%8d%8e%e4%ba%ba%ef%bc%81gpt-image-2%e5%9b%a2%e9%98%9f%e6%9b%9d%e5%85%89%ef%bc%9a%e6%97%a0%e9%94%a1%e6%89%8d%e4%bf%8a%e5%b8%a6%e9%98%9f%ef%bc%8c13%e4%ba%ba4%e4%b8%aa%e6%9c%88\/","title":{"rendered":"\u534a\u58c1\u534e\u4eba\uff01GPT Image 2\u56e2\u961f\u66dd\u5149\uff1a\u65e0\u9521\u624d\u4fca\u5e26\u961f\uff0c13\u4eba4\u4e2a\u6708\u5c01\u795e"},"content":{"rendered":"
\"\u534a\u58c1\u534e\u4eba\uff01GPT<\/div><\/figure>\n
\"\u534a\u58c1\u534e\u4eba\uff01GPT<\/div><\/figure>\n
\"\u534a\u58c1\u534e\u4eba\uff01GPT<\/div><\/figure>\n
\"\u534a\u58c1\u534e\u4eba\uff01GPT<\/div><\/figure>\n

GPT Image2\u5168\u7f51\u5237\u5c4f\uff0c\u4f46\u6548\u679c\u7a76\u7adf\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u597d\uff1f<\/p>\n

\u7814\u7a76\u8d1f\u8d23\u4eba\u9648\u535a\u8fdc\u63ed\u79d8\uff1a\u5e95\u5c42\u67b6\u6784\u5df2\u5f7b\u5e95\u91cd\u6784\u3002<\/p>\n

\u4f46\u4ed6\u53c8\u62d2\u7edd\u56de\u7b54\u662f\u5426\u91c7\u7528\u6269\u6563\u6a21\u578b\u6216\u81ea\u56de\u5f52\u6280\u672f\uff0c\u53ea\u662f\u795e\u79d8\u7684\u5c06\u5176\u63cf\u8ff0\u4e3a\u201c\u901a\u7528\u6a21\u578b\u201d\u6216\u201c\u56fe\u50cf\u9886\u57df\u7684GPT\u201d\u3002<\/p>\n

\u9648\u535a\u8fdc\u7684\u4e00\u6761\u63a8\u6587\u8fd8\u900f\u9732\uff0c\u4ece\u53bb\u5e7412\u6708\u5e95\u7684GPT Image 1.5\u7b97\u8d77\uff0c\u53ea\u7528\u4e86\u56db\u4e2a\u6708\u5c31\u6709\u5982\u6b64\u5927\u7684\u6539\u8fdb\u3002<\/p>\n

\u8fd9\u6837\u7a81\u7834\u6027\u7684\u6210\u679c\uff0c\u6838\u5fc3\u56e2\u961f\u53ea\u670913\u4eba\u3002<\/p>\n

\u6574\u4e2a\u56e2\u961f\u7684\u8d1f\u8d23\u4ebaGabriel Goh\u6652\u51fa\u4e86\u7684\u56e2\u961f\u6210\u5458AI\u5168\u5bb6\u798f\u3002<\/p>\n

\u8bc4\u8bba\u533a\u6709\u7f51\u53cb\u611f\u53f9\uff1a\u600e\u4e48\u5168\u662f\u4e9a\u6d32\u4eba\uff1f<\/p>\n

GPT Image 2\u7a76\u7adf\u662f\u4ec0\u4e48\u67b6\u6784\uff1f<\/p>\n

OpenAI\u6050\u6015\u5f88\u957f\u4e00\u6bb5\u65f6\u95f4\u90fd\u4e0d\u4f1a\u516c\u5e03\u4e86\uff0c\u4f46\u4ece\u6838\u5fc3\u56e2\u961f\u6210\u5458\u7684\u5b66\u672f\u7ecf\u5386\u53ef\u4ee5\u770b\u51fa\u4e00\u4e9b\u75d5\u8ff9\u3002<\/p>\n

\u9648\u535a\u8fdc\u662f\u56e2\u961f\u7684Research Lead\uff0c\u4ed6\u548c\u53e6\u4e00\u4f4d\u6210\u5458Kiwhan Song\u5728MIT\u8bfb\u535a\u65f6\u6709\u540c\u4e00\u4f4d\u5bfc\u5e08Vincent Sitzmann\u3002<\/p>\n

\u4ed6\u535a\u58eb\u671f\u95f4\u7684\u4ee3\u8868\u4f5cDiffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion\u5165\u9009\u4e86NeurIPS 2024\u3002<\/p>\n

\u8fd9\u9879\u7814\u7a76\u63d0\u51faDiffusion Forcing\u8fd9\u4e00\u5168\u65b0\u5e8f\u5217\u751f\u6210\u8bad\u7ec3\u8303\u5f0f\uff0c\u5c06\u9010token\u72ec\u7acb\u566a\u58f0\u7ea7\u6269\u6563\u4e0e\u56e0\u679c\u4e0b\u4e00\u4e2atoken\u9884\u6d4b\u7ed3\u5408\uff0c\u878d\u5408\u81ea\u56de\u5f52\u6a21\u578b\u7684\u53ef\u53d8\u957f\u5ea6\u751f\u6210\u4e0e\u5168\u5e8f\u5217\u6269\u6563\u6a21\u578b\u7684\u957f\u7a0b\u5f15\u5bfc\u4f18\u52bf\u3002<\/p>\n

\u4ed6\u5728\u8c37\u6b4c\u5b9e\u4e60\u671f\u95f4\u8fd8\u4ee5\u5171\u540c\u4e00\u4f5c\u8eab\u4efd\u53d1\u8868\u4e86SpatialVLM\u3002<\/p>\n

\u901a\u8fc7\u8fc7\u81ea\u52a8\u6784\u5efa\u4e92\u8054\u7f51\u89c4\u6a21\u76843D\u7a7a\u95f4\u63a8\u7406 VQA \u6570\u636e\u96c6\uff081000 \u4e07\u56fe\u50cf\u300120 \u4ebf QA \u5bf9\uff09\uff0c\u4e3a\u89c6\u89c9\u8bed\u8a00\u6a21\u578b\u8d4b\u4e88\u5b9a\u91cf \/ \u5b9a\u6027\u7a7a\u95f4\u63a8\u7406\u80fd\u529b\uff0c\u53ef\u4ece\u5355\u5f20 2D \u56fe\u50cf\u8f93\u51fa\u7c73\u5236\u8ddd\u79bb\u3001\u5c3a\u5bf8\u3001\u65b9\u4f4d\u7b49\u7cbe\u786e\u6570\u503c\u3002<\/p>\n

\u8fd9\u9879\u7814\u7a76\u628a\u601d\u7ef4\u94fe\u7a7a\u95f4\u63a8\u7406\u5e94\u7528\u5230\u4e86\u5177\u8eab\u667a\u80fd\u9886\u57df\u3002<\/p>\n

\u5728\u8c37\u6b4c\u5b9e\u4e60\u671f\u95f4\uff0c\u4ed6\u5f00\u53d1\u7684\u6307\u4ee4\u5fae\u8c03\u6280\u672f\u540e\u7eed\u8fd8\u88abGemini 2.0\u91c7\u7528\u3002<\/p>\n

\u4ed6\u5728\u9ad8\u4e2d\u53c2\u52a0\u79d1\u7814\u590f\u4ee4\u8425\u65f6\uff0c\u8fd8\u4e0d\u61c2Python\u7684\u57fa\u672c\u8bed\u6cd5\uff0c\u90a3\u65f6\u7ed3\u8bc6\u7684\u8c37\u6b4cDeepMind\u8d44\u6df1\u7814\u7a76\u5458\u590f\u6590\u628a\u4ed6\u5f15\u5165\u4e86AI\u4e16\u754c\u3002<\/p>\n

\u590f\u6590\u4e24\u6b21\u9080\u8bf7\u4ed6\u5230DeepMind\u5b8c\u6210\u9ad8\u8d28\u91cf\u5b9e\u4e60\uff0c\u8fd9\u4e9b\u7ecf\u5386\u4f7f\u9648\u535a\u8fdc\u79ef\u7d2f\u4e86\u5927\u89c4\u6a21\u6a21\u578b\u8bad\u7ec3\u7684\u5de5\u7a0b\u7ecf\u9a8c\uff0c\u4e5f\u4e3a\u4ed6\u7406\u89e3\u591a\u6a21\u6001\u7cfb\u7edf\u7684\u6570\u636e\u9700\u6c42\u63d0\u4f9b\u4e86\u5b9d\u8d35\u89c6\u89d2\u3002<\/p>\n

\u535a\u58eb\u6bd5\u4e1a\u540e\uff0c\u9648\u535a\u8fdc\u4e8e2025\u5e746\u6708\u52a0\u5165OpenAI\uff0c\u8fc5\u901f\u6210\u4e3aGPT\u56fe\u7247\u751f\u6210\u4e94\u4eba\u6838\u5fc3\u6210\u5458\u4e4b\u4e00\uff0c\u8d1f\u8d23GPT\u56fe\u50cf\u751f\u6210\u6a21\u578b\u7684\u6240\u6709\u8bad\u7ec3\uff0c\u540c\u65f6\u4e5f\u662fSora\u89c6\u9891\u751f\u6210\u56e2\u961f\u7684\u4e00\u5458\u3002<\/p>\n

\u5728\u6f14\u793a\u4e2d\uff0c\u4ed6\u7ed9\u5bb6\u4e61\u65e0\u9521\u505a\u4e86\u4e00\u5f20\u6d77\u62a5\u3002\u7136\u540e\u4e3a\u6765\u81ea\u9996\u5c14\u7684\u961f\u53cb\u505a\u97e9\u6587\u6d77\u62a5\uff0c\u4e3a\u6765\u81eaBangladesh\u7684\u961f\u53cb\u505a\u5b5f\u52a0\u62c9\u8bed\u6d77\u62a5\u3002\u6bcf\u4e00\u5f20\u4e2d\u7684\u6587\u5b57\u6e32\u67d3\u90fd\u7cbe\u51c6\u65e0\u8bef\u3002<\/p>\n

\u4e2d\u79d1\u5927\u535a\u58eb\u6bd5\u4e1a\u7684Jianfeng Wang\uff0c\u5728GPT Image 2\u56e2\u961f\u8d1f\u8d23\u7684\u662f\u53e6\u4e00\u4e2a\u8ba9\u4eba\u60ca\u53f9\u7684\u80fd\u529b\uff1a\u6307\u4ee4\u9075\u5faa\u548c\u7406\u89e3\u4e16\u754c\u3002<\/p>\n

\u65e7\u6a21\u578b\u753b\u7684\u6c38\u8fdc\u65f6\u949f\u6c38\u8fdc\u6307\u541110:10\uff0c\u6e90\u4e8e\u7f51\u7edc\u4e0a\u7684\u949f\u8868\u5e7f\u544a\u56fe\uff0c\u51e0\u4e4e\u6e05\u4e00\u8272\u90fd\u662f10:10\u3002<\/p>\n

\u8fd9\u662f\u56e0\u4e3a\u949f\u8868\u5382\u5546\u627e\u5fc3\u7406\u5b66\u5bb6\u505a\u8fc7\u5b9e\u9a8c\uff0c\u8ba4\u4e3a\u8fd9\u6709\u52a9\u4e8e\u523a\u6fc0\u6d88\u8d39\u8005\u4e70\u8868\u7684\u610f\u613f\u3002<\/p>\n

\u4ed6\u8ba9\u65b0\u6a21\u578b\u753b2:25\u30013:30\u30019:10\u30017:45\uff0c\u57fa\u672c\u7cbe\u51c6\u3002<\/p>\n

\u8fd9\u53ea\u662f\u5f00\u80c3\u83dc\u3002<\/p>\n

\u66f4\u591a\u590d\u6742\u7684\u7a7a\u95f4\u5e03\u5c40\uff0c\u82f9\u679c\u5728\u4e2d\u5fc3\u3001\u676f\u5b50\u5728\u53f3\u8fb9\u3001\u4e66\u5728\u4e0a\u9762\u3001\u76f8\u673a\u5728\u5de6\u8fb9\u3001\u7bee\u7403\u5728\u4e0b\u9762\u3002\u6a21\u578b\u5168\u90e8\u7cbe\u51c6\u6267\u884c\u3002<\/p>\n

\u5728\u52a0\u5165OpenAI \u4e4b\u524d\uff0c\u4ed6\u5728\u5fae\u8f6f\u5de5\u4f5c\u8fd19\u5e74\u3002\u5728\u5fae\u8f6f\u671f\u95f4\u5c31\u4e0eOpenAI\u56e2\u961f\u5728DALLE-3\u4e0a\u6709\u5408\u4f5c\u3002<\/p>\n

\u4ed6\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u53d1\u8868\u4e86\u591a\u7bc7\u5b66\u672f\u8bba\u6587\uff0c\u7814\u7a76\u5185\u5bb9\u53ef\u80fd\u6db5\u76d6 \u56fe\u50cf\u5206\u7c7b\u3001\u76ee\u6807\u68c0\u6d4b\u3001\u8bed\u4e49\u5206\u5272\u3001\u4ee5\u53ca\u89c6\u89c9\u8868\u5f81\u5b66\u4e60 \u7b49\u65b9\u5411<\/p>\n

\u4e16\u754c\u77e5\u8bc6\u7406\u89e3\u80fd\u529b\u7684\u5927\u5e45\u63d0\u5347\uff0c\u5bf9\u8c61\u7684\u8bed\u4e49\u5185\u5bb9\u548c\u529f\u80fd\u7ed3\u6784 \u6709\u6b63\u786e\u7684\u7406\u89e3<\/p>\n

JianFeng Wang\u5728\u6f14\u793a\u89c6\u9891\u7ed3\u5c3e\u8bf4\u5230\uff1aGPT Image 2\u6b63\u5728\u6d88\u9664\u4f60\u7684\u610f\u56fe\u548c\u6a21\u578b\u4ea7\u51fa\u4e4b\u95f4\u7684\u5dee\u8ddd\u3002<\/p>\n

\u771f\u6b63\u505a\u5230\u4f60\u60f3\u8981\u4ec0\u4e48\uff0c\u6a21\u578b\u5c31\u7ed9\u4f60\u4ec0\u4e48\u3002<\/p>\n

Yuguang Yang\u5728GPT Image 2\u7684\u53d1\u5e03\u6d3b\u52a8\u4e2d\u6f14\u793a\u4e86\u751f\u6210\u4fe1\u606f\u56fe\u548cPPT\u3002<\/p>\n

\u6574\u657475\u9875\u7684GPT-3\u8bba\u6587\u62d6\u8fdbChatGPT\uff0c\u81ea\u52a8\u751f\u62107\u5f20\u5e7b\u706f\u7247\u3002<\/p>\n

\u4ed6\u7684\u7ecf\u5386\u53ef\u4ee5\u8bf4\u662f\u56e2\u961f\u6210\u5458\u4e2d\u6700\u4e30\u5bcc\u7684\uff0c\u6bcf\u6362\u4e00\u4e2a\u5de5\u4f5c\u90fd\u662f\u8de8\u754c\uff0c\u4f46\u90fd\u805a\u7126\u673a\u5668\u5b66\u4e60\u3002<\/p>\n

\u4ed6\u672c\u79d1\u5728\u6d59\u5927\u7afa\u53ef\u6862\u5b66\u9662\u5b66\u7684\u5de5\u7a0b\uff0c\u535a\u58eb\u5728\u7ea6\u7ff0\u65af\u970d\u666e\u91d1\u65af\u5927\u5b66\u671f\u95f4\u5b66\u7684\u662f\u8ba1\u7b97\u5316\u5b66\u7269\u7406\u4e0e\u673a\u5668\u5b66\u4e60\u3002<\/p>\n

\u4ed6\u7b2c\u4e00\u4efd\u5168\u804c\u5de5\u4f5c\u662f\u91cf\u5316\u5206\u6790\u5e08\uff0c\u5728\u6e05\u534e\u505a\u8bbf\u95ee\u7814\u7a76\u5458\u671f\u95f4\u7814\u7a76\u7684\u662f\u7528\u4e8e\u7eb3\u7c73\u673a\u5668\u4eba\u7684\u5f3a\u5316\u5b66\u4e60\u548c\u63a7\u5236\u7b97\u6cd5\u3002<\/p>\n

\u540e\u6765\u4ed6\u5728\u4e9a\u9a6c\u900a\u505a\u8fc7Alexa\u8bed\u97f3\u7814\u7a76\u3002<\/p>\n

\u53c8\u5728\u5fae\u8f6f\u505a\u8fc7Bing\u641c\u7d22\u7684\u67e5\u8be2\u7406\u89e3\u548c\u68c0\u7d22\u3001\u6587\u6863\u7406\u89e3\u3002<\/p>\n

2025\u5e74\u521d\u52a0\u5165OpenAI\u540e\uff0c\u9664\u4e86\u56fe\u50cf\u751f\u6210\u8fd8\u53c2\u4e0e\u8fc7ChatGPT\u667a\u80fd\u4f53\u9879\u76ee\u3002<\/p>\n

\u4ed6\u5728\u4e2a\u4eba\u8d26\u53f7\u4e0a\u4ecb\u7ecdGPT Image 2\u7684\u4fe1\u606f\u56fe\u751f\u6210\u80fd\u529b\uff0c\u53ef\u4ee5\u4e3a\u79d1\u7814\u4eba\u5458\u8282\u7701\u5927\u91cf\u65f6\u95f4\u3002<\/p>\n

\u8fd8\u53cd\u590d\u63d0\u9192\u5927\u5bb6\uff0c\u8981\u505a\u4fe1\u606f\u56fe\u4e0d\u8981\u5fd8\u8bb0\u9009\u62e9\u601d\u8003\u6a21\u5f0f\u3002<\/p>\n

\u4ece\u56e2\u961f\u6210\u5458Kenji Hata\u7684\u81ea\u6211\u4ecb\u7ecd\u4e2d\u5f97\u77e5\uff0cGPT Image 1.0\u4e5f\u5c31\u662fGPT-4o\u7684\u56fe\u50cf\u751f\u6210\u90e8\u5206\u3002<\/p>\n

\u6709\u4e00\u4e2a\u4eba\u4eceDALL-E\u5f00\u59cb\u53c2\u4e0e\u4e86OpenAI\u591a\u6a21\u6001\u7cfb\u5217\u7814\u7a76\u7684\u5168\u7a0b\u3002<\/p>\n

\u4ed6\u5c31\u662fGPT Image 2.0\u56e2\u961f\u8d1f\u8d23\u4ebaGabriel Goh\u3002<\/p>\n

\u4ece2019\u5e74\u52a0\u5165OpenAI\uff0c\u4ed6\u7684\u65e9\u671f\u7814\u7a76\u66f4\u7bc7\u7406\u8bba\uff0c\u4e13\u6ce8\u4e8e\u53ef\u89e3\u91ca\u6027\u548c\u51f8\u4f18\u5316\u7b49\u7b49\u3002<\/p>\n

\u4eceDALL-E\u5f00\u59cb\u6162\u6162\u8f6c\u5411\u4e86\u56fe\u50cf\u751f\u6210\u3002<\/p>\n

\u770b\u5230\u53e6\u4e00\u4f4d\u56e2\u961f\u6210\u5458Weixin Liang\u7684\u7814\u7a76\u5c65\u5386\uff0cGPT Image 2\u7684\u6280\u672f\u5e95\u8272\u53c8\u63ed\u5f00\u4e86\u4e00\u89d2\u3002<\/p>\n

\u4ed6\u5728Meta\u5b9e\u4e60\u671f\u95f4\u7684\u4ee3\u8868\u4f5cMixture-of-Transformers\uff0c\u5f15\u5165\u6a21\u6001\u89e3\u8026\u7684MoE\u548c\u89e3\u8026\u6ce8\u610f\u529b\uff0c\u663e\u8457\u964d\u4f4e\u591a\u6a21\u6001\u6a21\u578b\u9884\u8bad\u7ec3\u7684\u8ba1\u7b97\u6210\u672c\u3002<\/p>\n

\u4ed6\u535a\u58eb\u6bd5\u4e1a\u81ea\u65af\u5766\u798f\uff0c\u672c\u79d1\u4e5f\u6bd5\u4e1a\u81ea\u6d59\u5927\u7afa\u53ef\u6862\u5b66\u9662\uff0c\u4e0d\u8fc7\u6bd4Yuguang Yang\u8981\u665a\u597d\u51e0\u5e74\u3002<\/p>\n

Weixin Liang\u4e0e\u9648\u535a\u8fdc\u4e00\u6837\u90fd\u662f25\u5e74\u535a\u58eb\u521a\u6bd5\u4e1a\u5c31\u52a0\u5165OpenAI\uff0c\u8fc5\u901f\u6210\u4e3a\u56e2\u961f\u7684\u6838\u5fc3\u6210\u5458\u3002<\/p>\n

\u5176\u4ed6GPT Image 2.0\u56e2\u961f\u6210\u5458\u8fd8\u5305\u62ec\uff1a<\/p>\n

Ayaan Haque\uff0c\u4e4b\u524d\u5728Luma AI \u5de5\u4f5c\uff0c\u53c2\u4e0e\u8fc7Luma\u7684\u89c6\u9891\u751f\u6210\u57fa\u7840\u6a21\u578bDream Machine\u7684\u8bad\u7ec3\u3002<\/p>\n

Bing Liang\uff0c\u5728Google\u5e72\u4e865\u5e74\u591a\uff0c\u53c2\u4e0eImagen3\u3001Veo\u3001Gemini Multimodal\uff0c2025\u5e74\u8df3\u5230OpenAI\u505a\u56fe\u50cf\u751f\u6210\u7814\u7a76\u3002<\/p>\n

Mengchao Zhong\uff0c\u672c\u79d1\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u6821\u53cb\uff0c\u7855\u58eb\u6bd5\u4e1a\u4e8e\u5f97\u514b\u8428\u65af\u519c\u5de5\u5927\u5b66\uff0c\u5728Pinterest\u548cAirtable\u505a\u8fc7\u8f6f\u4ef6\u5de5\u7a0b\u5e08\uff0c\u5728OpenAI\u8d1f\u8d23\u591a\u6a21\u6001\u4ea7\u54c1\u7684\u5de5\u7a0b\u3002<\/p>\n

Dibya Bhattacharjee\uff0c\u8036\u9c81\u5927\u5b66\uff0c2015\u5e74IPhO\u94dc\u724c\uff0cCIE A-Level\u6570\u5b66\u548c\u751f\u7269\u5168\u7403\u6700\u9ad8\u5206\u3002<\/p>\n

Kiwhan Song\u662f25\u5e7410\u6708\u6700\u665a\u52a0\u5165\u7684\uff0c\u9664\u4e86\u505a\u7814\u7a76\u4e4b\u5916\uff0c\u4ed6\u8fd8\u662f\u56e2\u961f\u91cc\u7684\u63d0\u793a\u8bcd\u5927\u5e08\uff0c\u5927\u5bb6\u770b\u5230\u7684\u5b98\u65b9\u6f14\u793a\u56fe\u5f88\u591a\u90fd\u51fa\u81ea\u4ed6\u624b\u3002\u2026\u2026<\/p>\n

\u4ece\u6700\u65e9\u7684DALL-E\u5230\u4eca\u5929\u7684GPT Image 2.0\uff0c\u8fd9\u53ea\u56e2\u56e2\u961f\u5148\u540e\u89e3\u51b3\u4e86\u3002\u753b\u5f97\u51fa\u6765\u3001\u753b\u5f97\u6e05\u695a\u3001\u753b\u5f97\u597d\u770b\u3001\u753b\u5f97\u51c6\u3002<\/p>\n

\u5c3d\u7ba1\u8fd1\u5e74\u6765OpenAI\u7684\u4eba\u624d\u6d41\u52a8\u5f88\u5927\uff0c\u4f46OpenAI\u8fd8\u662f\u90a3\u4e2a\u80fd\u4e0d\u65ad\u5438\u5f15\u5404\u79cd\u6709\u4e2a\u6027\u7684\u4eba\u624d\uff0c\u4e0d\u9650\u5236\u4e13\u4e1a\u3001\u6b22\u8fce\u8de8\u754c\uff0c\u4fe1\u5949\u81ea\u4e0b\u800c\u4e0a\u6d8c\u73b0\u5f0f\u7814\u7a76\u7684\u516c\u53f8\u3002<\/p>\n

\u4ece\u4e00\u4e2a\u5c0f\u56e2\u961f\u5f00\u59cb\uff0c\u6709\u4e86\u7a81\u7834\u540e\u516c\u53f8\u503e\u659c\u66f4\u591a\u8d44\u6e90\uff0c\u76f4\u5230\u6539\u53d8\u4e16\u754c\u3002<\/p>\n

\u66fe\u7ecf\uff0cGPT-4o\u56fe\u50cf\u751f\u6210\u6a21\u4eff\u5409\u535c\u529b\u98ce\u683c\u751f\u6210\u7684\u5934\u50cf\u5e2d\u5377\u4e86\u5168\u4e16\u754c\u3002<\/p>\n

\u5982\u4ecaGPT Image 2.0\u7684\u56e2\u961f\u6210\u5458\uff0c\u90fd\u628a\u81ea\u5df1\u5934\u50cf\u6362\u6210\u4e86\u8fd9\u79cd\u5947\u8116\u5b50\u753b\u98ce\u3002<\/p>\n

\u90a3\u4e48\u8fd9\u79cd\u753b\u98ce\u7684\u63d0\u793a\u8bcd\u662f\u4ec0\u4e48\uff1f\u56e2\u961f\u6210\u5458\u4e5f\u516c\u5e03\u4e86\u51fa\u6765<\/p>\n

\u53c2\u8003\u94fe\u63a5\uff1a[1]https:\/\/x.com\/gabeeegoooh\/status\/2046674385407512687?s=20[2]https:\/\/venturebeat.com\/technology\/openais-chatgpt-images-2-0-is-here-and-it-does-multilingual-text-full-infographics-slides-maps-even-manga-seemingly-flawlessly<\/p>\n

\n

\u7248\u6743\u58f0\u660e\uff1a<\/strong><\/p>\n

\u672c\u535a\u5ba2\u90e8\u5206\u5185\u5bb9\u4e3a\u8f6c\u8f7d\u6587\u7ae0\uff0c\u65e8\u5728\u5206\u4eab\u6709\u4ef7\u503c\u7684\u4fe1\u606f\uff0c\u7248\u6743\u5f52\u539f\u4f5c\u8005\u6240\u6709\u3002<\/p>\n

\u8f6c\u8f7d\u4ec5\u4e3a\u4e2a\u4eba\u5b66\u4e60\u4e0e\u4ea4\u6d41\u76ee\u7684\uff0c\u4e0d\u5bf9\u6587\u7ae0\u89c2\u70b9\u8d1f\u8d23\uff0c\u4ea6\u4e0d\u7528\u4e8e\u4efb\u4f55\u5546\u4e1a\u7528\u9014\u3002<\/p>\n

\u5982\u6d89\u53ca\u7248\u6743\u95ee\u9898\uff0c\u8bf7\u8054\u7cfb\u672c\u4eba\u5220\u9664\u3002<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"

GPT Image2\u5168\u7f51\u5237\u5c4f\uff0c\u4f46\u6548\u679c\u7a76\u7adf\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u597d\uff1f<\/p>\n

\u7814\u7a76\u8d1f\u8d23\u4eba\u9648\u535a\u8fdc\u63ed\u79d8\uff1a\u5e95\u5c42\u67b6\u6784\u5df2\u5f7b\u5e95\u91cd\u6784\u3002<\/p>\n

\u4f46\u4ed6\u53c8\u62d2\u7edd\u56de\u7b54\u662f\u5426\u91c7\u7528\u6269\u6563\u6a21\u578b\u6216\u81ea\u56de\u5f52\u6280\u672f\uff0c\u53ea\u662f\u795e\u79d8\u7684\u5c06\u5176\u63cf\u8ff0\u4e3a\u201c\u901a\u7528\u6a21\u578b\u201d\u6216\u201c\u56fe\u50cf\u9886\u57df\u7684GPT\u201d\u3002<\/p>\n

\u9648\u535a\u8fdc\u7684\u4e00\u6761\u63a8\u6587\u8fd8\u900f\u9732\uff0c\u4ece\u53bb\u5e7412\u6708\u5e95\u7684GPT Image 1.5\u7b97\u8d77\uff0c\u53ea\u7528\u4e86\u56db\u4e2a\u6708\u5c31\u6709\u5982\u6b64\u5927\u7684\u6539\u8fdb\u3002<\/p>\n

\u8fd9\u6837\u7a81\u7834\u6027\u7684\u6210\u679c\uff0c\u6838\u5fc3\u56e2\u961f\u53ea\u670913\u4eba\u3002<\/p>\n

\u6574\u4e2a\u56e2\u961f\u7684\u8d1f\u8d23\u4ebaGabriel Goh\u6652\u51fa\u4e86<\/p>\n","protected":false},"author":1,"featured_media":4181,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[103],"class_list":["post-4185","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-xwzx","tag-openai"],"_links":{"self":[{"href":"https:\/\/1ow.top\/index.php\/wp-json\/wp\/v2\/posts\/4185","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/1ow.top\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/1ow.top\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/1ow.top\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/1ow.top\/index.php\/wp-json\/wp\/v2\/comments?post=4185"}],"version-history":[{"count":0,"href":"https:\/\/1ow.top\/index.php\/wp-json\/wp\/v2\/posts\/4185\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/1ow.top\/index.php\/wp-json\/wp\/v2\/media\/4181"}],"wp:attachment":[{"href":"https:\/\/1ow.top\/index.php\/wp-json\/wp\/v2\/media?parent=4185"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/1ow.top\/index.php\/wp-json\/wp\/v2\/categories?post=4185"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/1ow.top\/index.php\/wp-json\/wp\/v2\/tags?post=4185"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}