2026
Trajectory-Aware Spiking DiTs Conversion via Membrane Potential Error-Feedback
ICML 2026poster
Diffusion Transformers (DiTs) have achieved state-of-the-art generative performance, yet their iterative denoising process remains computationally expensive and energy-intensive. Spiking Neural Networks (SNNs) offer a promising neuromorphic alternative for energy efficiency; however, the non-differe…