Tag
#diffusion
3 insights
- ai · arxiv/cs.AI · 5 min
Frequency-Forcing: Guiding Image Generation via Soft Auxiliary Streams
A new approach to flow-matching models uses lightweight learnable wavelets to guide pixel generation toward coarse structure first, improving image synthesis without hard constraints.
Apr 25, 2026 Read → - ai · arxiv/cs.LG · 8 min
Three diffusion methods unified under population genetics framework
Researchers connect discrete, Gaussian, and simplicial diffusion models through Wright-Fisher theory, enabling stable cross-domain sequence generation.
Apr 21, 2026 Read → - ai · arxiv/cs.LG · 4 min
Neural CTMC decouples discrete diffusion into timing and direction
A new parameterization for discrete diffusion models separates when and where tokens jump, aligning training with mathematical structure.
Apr 20, 2026 Read →