Description
本期节目深入探讨Diffusion Transformers (DiTs) 如何在图像生成领域取得突破性进展，并超越现有U-Net模型。我们将分析DiTs的可扩展性，以及其在ImageNet 512x512和256x256基准测试中如何达到最先进的FID分数。
Audio
Featured in this Episode
No persons identified in this episode.
Transcription
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
0
upvotes
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
SpaceX Said to Pursue 2026 IPO
10 Dec 2025
Bloomberg Tech
Don’t Call It a Comeback
10 Dec 2025
Motley Fool Money
Japan Claims AGI, Pentagon Adopts Gemini, and MIT Designs New Medicines
10 Dec 2025
The Daily AI Show
Eric Larsen on the emergence and potential of AI in healthcare
10 Dec 2025
McKinsey on Healthcare
What it will take for AI to scale (energy, compute, talent)
10 Dec 2025
Azeem Azhar's Exponential View
Reducing Burnout and Boosting Revenue in ASCs
10 Dec 2025
Becker’s Healthcare -- Spine and Orthopedic Podcast