Era3D: High-Resolution Multiview Diffusion Using Efficient Row-Wise Attention

The authors have set up a live demo on their HuggingFace page: <a href="https:&#x2F;&#x2F;huggingface.co&#x2F;spaces&#x2F;pengHTYX&#x2F;Era3D_MV_demo" rel="nofollow">https:&#x2F;&#x2F;huggingface.co&#x2F;spaces&#x2F;pengHTYX&#x2F;Era3D_MV_demo</a><p>It&#x27;s very easy to upload your image, click the button called &quot;Generate Normals and Colors&quot; and get multiple views of the generated 3d model populated below.<p>For full experience and mesh export, their Github repo is the way to go: <a href="https:&#x2F;&#x2F;github.com&#x2F;pengHTYX&#x2F;Era3D?tab=readme-ov-file">https:&#x2F;&#x2F;github.com&#x2F;pengHTYX&#x2F;Era3D?tab=readme-ov-file</a><p>Update: here is an example of a generated Nokia phone that can hold its battery for at least a year: <a href="https:&#x2F;&#x2F;imgur.com&#x2F;PzUfbW7" rel="nofollow">https:&#x2F;&#x2F;imgur.com&#x2F;PzUfbW7</a>

Don‘t miss a “Lewd statue of an angel texting on a cell phone” in text to 3D examples

The “image to 3d” examples seem to do well if the source image is an oblique view but not if it’s a direct straight-on front view.

I like that it couldn&#x27;t decide if it was a ghost eating a hamburger or a hamburger that eats ghosts from that ambiguous prompt.

What&#x27;s the SOA in photogrammetry for the amateur with modest devices?

Seems like this would be very useful for game dev. This looks amazing!

Dat is some dark magic