Controllable diverse sampling through pullback directions in conditional diffusion models; arXiv:2610.14294v1 investigates increasing visual diversity without extra optimization or sampling overhead.
Read the original at arxiv.org→arXiv:2610.14294v1 Announce Type: new Abstract: Conditional diffusion models can generate high-quality images that align closely with a given prompt. However, samples generated from different random seeds may remain...
Original headline: "Controllable Diverse Sampling through Pullback Directions"
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- Oct 14, 04:00 UTC arXiv cs.AI lead source Controllable Diverse Sampling through Pullback Directions