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
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