Sneak Peek #36: A new way to create realistic 3D shapes using generative AI

<p>Creating realistic 3D models for applications like virtual reality, filmmaking, and engineering design can be a cumbersome process requiring lots of manual trial and error.</p>

<p>MIT researchers explored the relationships and differences between the algorithms used to generate 2D images and 3D shapes, identifying the root cause of lower-quality 3D models. From there, they crafted a simple fix to Score Distillation, which enables the generation of sharp, high-quality 3D shapes that are closer in quality to the best model-generated 2D image</p>

<p><a href="https://news.mit.edu/2024/creating-realistic-3d-shapes-using-generative…;