Diffusion models learn semantic representations; Decoupled Diffusion Transformer uses a condition encoder and velocity decoder to enable denoising across noise levels
Read the original at arxiv.org→arXiv:2610.07002v1 Announce Type: new Abstract: Diffusion models learn semantic representations while generating images. In the Decoupled Diffusion Transformer (DDT), a condition encoder provides features that guide...
Original headline: "Should We Skip Diffusion?"
Coverage timeline
- Oct 7, 04:00 UTC arXiv cs.LG lead source Should We Skip Diffusion?