TL#006 Robin Rombach Taming Transformers for High Resolution Image Synthesis

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This presentation was given by Robin Rombach during the 6th edition of the Transfer Learning Event ( 13/04/2021 ).

References :

Musings on typicality
Dieleman Sander
Blog post

Implementation's official release
Patrick Esser*, Robin Rombach*, Björn Ommer
Github

Taming Transformers for High-Resolution Image Synthesis
Patrick Esser*, Robin Rombach*, Björn Ommer
CVPR 2021

High-Fidelity Generative Image Compression
Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson
NIPS 2020

Categorical Reparameterization with Gumbel-Softmax
Eric Jang, Shixiang Gu, Ben Poole
ICLR 2017

Neural Discrete Representation Learning
Aaron van den Oord, Oriol Vinyals, Koray Kavukcuoglu
NIPS 2017

Generating Images with Sparse Representations
Charlie Nash, Jacob Menick, Sander Dieleman, Peter W. Battaglia
Arxiv preprint

Zero-Shot Text-to-Image Generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever
OpenAI

Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi, Aaron van den Oord, Oriol Vinyals
NIPS 2019
  1. Transfer Learning
  2. deep learning
  3. machine learning
  4. transfer learning
  5. Robin
  6. Rombach
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Owh, I actually thought that Transformers were wild robots which needed to be tamed. Boy, I was wrong…

goddar