InstaGen paper proposes group-shared importance sampling to speed video diffusion transformers

A new arXiv paper, InstaGen, introduces group-shared importance sampling to cut the computational cost of Diffusion Transformers for video generation, which suffer from quadratic attention complexity.

Read the full story at arXiv cs.CV ↗

Timeline · 1 report

2026-11-10 05:00 · arXiv cs.CV
InstaGen: Group-Shared Importance Sampling for Fast Video Generation

More stories

Anthropic launches Claude Fable 5.2 and Mythos 5.2 ahead of planned IPO — Anthropic (X)
Australia to create AI safety regulator with 'significant penalties' after OpenAI portal breach — Barron's
Nvidia board probes CEO Jensen Huang over affair with alleged Chinese spy — Axios AI+
Anthropic retracts filing that briefly showed nearly $70 billion IPO target — Reuters AI
Google adds TPU 8tx and TPU 8i Max to eighth-generation chip lineup — Google: The Keyword
Meta launches Muse Ember, a low-cost AI model for repetitive agent tasks — TechCrunch AI
Did Claude Code’s ‘don’t ask again’ option accidentally expose your enterprise's passwords and keys? — VentureBeat AI
Anthropic to push ahead with IPO marketing amid AI market jitters — Wall Street Journal Technology

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