Watch Your Step: Information Injection in Diffusion Models via Shadow Timestep Embedding

·ArXiv cs.LG··

arXiv:2605.00935v1 Announce Type: new Abstract: Diffusion models have become the foundation of modern generative systems, with most research focusing primarily on improving generation efficiency and output quality. The timestep embedding component is a crucial part of the diffusion pipeline, which provides a temporal conditioning signal to the denoising network, enabling it to adapt its predictions across different noise levels throughout the process. Despite their potential to contain substanti...

Read full article →

Related Articles

OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
donsupreme · Hacker News · 18d ago
Accelerating Gemma 4: faster inference with multi-token prediction drafters
amrrs · Hacker News · 15d ago
A couple million lines of Haskell: Production engineering at Mercury
unignorant · Hacker News · 18d ago
Using “underdrawings” for accurate text and numbers
samcollins · Hacker News · 19d ago
ProgramBench: Can language models rebuild programs from scratch?
jonbaer · Hacker News · 14d ago