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12/19/2022
Scalable Diffusion Models with Transformers
We explore a new class of diffusion models based on the transformer arch...
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09/26/2022
Learning to Learn with Generative Models of Neural Network Checkpoints
We explore a data-driven approach for learning to optimize neural networ...
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12/09/2021
GAN-Supervised Dense Visual Alignment
We propose GAN-Supervised Learning, a framework for learning discriminat...
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08/24/2020
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement
Existing disentanglement methods for deep generative models rely on hand...
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05/15/2020
Semantic Photo Manipulation with a Generative Image Prior
Despite the recent success of GANs in synthesizing images conditioned on...
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10/24/2019
