近日，Adobe和斯坦福大学团队共同发布了新的3D生成方法“DMV3D”。该技术可以在单个A100 GPU上，仅需30秒，就能生成各种高保真的3D图像。DMV3D能够直接根据模型文字或单张图片的输入，生成3D NeRF。
DMV3D是一种基于transformer的3D大型重建模型，用于对多视图扩散进行去噪。研究者们还提出了一种新颖的3D生成方法DMV3D，能够直接根据模型文字或单张图片的输入，生成3D图像。这一新技术的出现，将极大地推动了3D图像生成的领域。
该技术的实现，得益于Adobe研究院和斯坦福大学等机构的研究者们的努力。他们利用DMV3D技术，成功地将单个A100 GPU的3D图像生成时间缩短到了30秒以内。DMV3D的诞生，将为各个领域的3D图像生成提供更加高效、快速、准确的技术支持。
未来，DMV3D技术将继续完善，有望在更广泛的领域应用。相信，在不久的将来，我们将会看到DMV3D技术在3D医疗、3D建筑、3D游戏等多个领域发挥巨大作用。
英文翻译：
News Title:
New 3D Image Generation Technique DMV3D Takes Only 30 Seconds
Keywords:
– 3D image generation
– New technology
– DMV3D
– 30 seconds
News Content:
Recently, the Adobe and Stanford University teams have jointly released a new 3D generation method called “DMV3D”. This technique can generate high-quality 3D images of various kinds in just 30 seconds on a single A100 GPU. DMV3D can directly generate 3D NeRF based on the input of model text or a single image.
DMV3D is a 3D large reconstruction model based on transformer, which is used for denoising of multi-view diffusion. The researchers have also proposed a novel 3D generation method called DMV3D, which can directly generate 3D images based on the input of model text or a single image. This new technology will significantly push the field of 3D image generation.
The achievement of this technology is due to the efforts of the researchers at Adobe Research and Stanford University. They have successfully shortened the 3D image generation time on a single A100 GPU to 30 seconds with the DMV3D technology. DMV3D’s emergence will provide more efficient, faster, and more accurate technology support for 3D image generation in various fields.
In the future, DMV3D technology will continue to improve and is expected to be applied in many fields. It is believed that in the near future, we will see DMV3D technology playing a significant role in 3D medical, 3D architecture, and 3D gaming.
【来源】https://new.qq.com/rain/a/20231127A04PHM00
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