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Can TarFlow Replace Diffusion Models for Image Generation?

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Can TarFlow Replace Diffusion Models for Image Generation?

93 просмотра · 7 дней назад
Gradient Daily
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93 просмотра · 7 дней назад
Normalizing flows are back with TarFlow, a novel architecture that combines transformers and autoregressive layers to generate high-quality images. Learn how this new model matches diffusion models in sample quality while advancing exact likelihood estimation. 📄 Paper: https://arxiv.org/abs/2412.06329 ⏱️ Chapters 0:00 Intro 0:25 Iterative Noise Reduction 1:04 System Overload 1:36 Neural Network Architecture 2:05 Network Routing Paths 2:49 Server Racks And Connections 3:39 Color Representation In Pixels 4:04 System Generating Outputs 4:57 Transformer Architecture Overview 5:25 Wipe Away Chaos 🔔 Subscribe to Gradient Daily — a new AI paper deep-dive every day. 🎧 Podcast:    • Gradient Daily Podcast   #AI #MachineLearning #DeepLearning