Real

“An app icon...”

“A watercolor painting...”

Real

“S∗ on a beach”

“Marc Chagall painting...”
Figure 4. Generation results when training with and without our
rescaling technique. As can be seen, applying rescaling improves
editability without harming visual fidelity.
into a 2048-dimensional vector, f (t, ℓ) ∈ R2048, modu-
lated by 1024 random frequencies. We then define a set
of 160 uniformly spaced anchor pairs (t, ℓ), encoded using
f. This set of vectors is then used to form an encoding ma-
trix E ∈ R160×2048. The output of our positional encoding
is then defined as et,ℓ = E × f (t, ℓ) ∈ R160.
A Neural Space-Time Representation for Text-to-Image Personalization