【麻省理工学院与 Adobe 联手推出革命性 DMD AI 技术：图像生成速度提升至每秒 20 幅】近日，科技界的创新火花再次闪耀，麻省理工学院与知名软件公司 Adobe 共同研发出一项名为 DMD（Distribution Matching Distillation）的先进人工智能技术，旨在解决主流文生图模型渲染速度缓慢的问题。
DMD 技术，全称为分布匹配蒸馏，通过简化多步扩散模型，将图像生成的过程优化为一步操作，实现了图像生成速度的显著提升。据研究人员介绍，这一突破性的技术能够在标准的 GPU 硬件上实现每秒生成 20 幅图像的惊人效率，这相比于传统的生成模型，无疑是一次巨大的飞跃。
此项技术的诞生，不仅标志着图像生成领域的技术革新，也将对媒体、设计、艺术和娱乐等行业产生深远影响。高速的图像生成能力将极大地提高工作效率，为创意工作者提供更广阔的设计空间和更实时的视觉体验。麻省理工学院与 Adobe 的此次合作，再次证明了学术界与产业界携手创新的力量，预示着未来人工智能在图像处理领域将有更多可能。
来源：IT之家
英语如下：
**News Title:** “MIT and Adobe Collaboration Breakthrough: DMD AI Technology Achieves Stunning 20 Images per Second Generation Rate”
**Keywords:** MIT, Adobe, DMD AI
**News Content:** **MIT and Adobe Join Forces to Unveil Revolutionary DMD AI Technology: Boosting Image Generation to 20 Images per Second**
Recently, the sparks of innovation in the tech industry have ignited once more, as MIT (Massachusetts Institute of Technology) and renowned software company Adobe jointly developed an advanced artificial intelligence technology known as DMD (Distribution Matching Distillation), aimed at addressing the slow rendering speed of mainstream text-to-image models.
DMD, acronym for Distribution Matching Distillation, streamlines the multi-step diffusion process, optimizing image generation into a single operation, resulting in a significant boost in speed. Researchers reveal that this groundbreaking technology can generate 20 images per second on standard GPU hardware, marking a tremendous leap forward compared to conventional generation models.
The birth of this technology not only signifies a milestone in image generation but is also set to have a profound impact on industries such as media, design, art, and entertainment. The high-speed image generation capability will greatly enhance工作效率, offering creative professionals broader design horizons and more real-time visual experiences. This collaboration between MIT and Adobe underscores the power of innovation when academia and industry come together, foreshadowing even more possibilities for AI in image processing in the future.
**Source:** IT Home
【来源】https://www.ithome.com/0/758/402.htm
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