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Abstract

One embodiment of the present invention sets forth a technique for generating data. The technique includes determining a plurality of flow vectors between a plurality of regions within a canonical space and a plurality of target spaces and generating, based on the plurality of flow vectors and a first noise sample associated with the canonical space, a plurality of noise samples associated with the plurality of target spaces. The technique also includes generating, via execution of a diffusion model based on the plurality of noise samples, a plurality of denoised intermediate samples associated with the plurality of target spaces and blending the plurality of denoised intermediate samples based on the plurality of flow vectors to generate a plurality of blended denoised intermediate samples associated with the plurality of target spaces. The technique further includes generating an output frame based on the plurality of blended denoised intermediate samples.

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