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We present an end-to-end Transformer based Latent Diffusion model for image synthesis.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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On the convergence properties of GAN training
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Classifier-free diffusion guidance
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High-resolution image synthesis with latent diffusion models
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Deformable DETR: deformable transformers for end-to-end object detection
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BEit: BERT pre-training of image transformers
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Diffusion models beat gans on image synthesis
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