AINewsnow

SpeeDiff: Scalable Pixel-Anchored End-to-End Latent Diffusion Model

arXiv:2610.36419v1 Announce Type: new Abstract: We present Scalable Pixel-anchored End-to-end Diffusion (SpeeDiff), a latent diffusion method that jointly trains the VAE and the diffusion model from scratch. In principle, joint training allows the diffusion loss gradient to directly guide the VAE e…

Read the full story at arXiv cs.CV ↗

Timeline · 1 report

  1. 2026-10-28 04:00 · arXiv cs.CV
    SpeeDiff: Scalable Pixel-Anchored End-to-End Latent Diffusion Model

More stories

  1. Anthropic reveals plans for blockbuster IPO — Sky News Technology
  2. DeepMind unveils Genie 4 world model promising more realistic physics and humans — Ars Technica AI
  3. Making machines that can listen — MIT News AI
  4. Elon Musk says more than 200 neoclouds face 'guppy-level death' — CNBC Technology
  5. I built an Android app where Claude Code, Codex or OpenCode use your phone through MCP (open source) — r/ArtificialInteligence
  6. Muse Is Now Available in Singapore: The World’s First Personal AI Agent Built for Everyone — Meta Newsroom
  7. Introducing GPT-6.1 Terra — OpenAI News
  8. Microsoft to reportedly offer buyouts to 60,000 employees in latest cuts — The Guardian AI

Get the daily brief of stories like this at 6:30 every morning →