One check on the PSNR: 32–34 dB against the author's PyTorch pipeline measures agreement with the reference implementation, not fidelity to the input photo. Does the four-side comparison include a view the splat wasn't trained on?
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repliedto mlboydaisuke's post about 5 hours ago
Turn one photo into a 3D object you can spin around, sides and back included, entirely on your phone.
On a Galaxy S26, Idol (speridlabs) on LiteRT now makes a splat of 65,536 Gaussians in 158 s with its new default form, or of 262,144 Gaussians in 267 s with the first release's form, which stays in the repo (the first photo after start, on a cool phone). Checked against the author's PyTorch pipeline, renders from four sides agree at a PSNR of 32.3–34.4 dB for the default and 41.4–46.6 dB for the larger form.
Graphs, a Python runner and an Android sample: https://huggingface.co/litert-community/IdolOrganizations
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replied to mlboydaisuke's post about 5 hours ago