Colourisation and Any-resolution Generation Tech Talk – Thursday 19th January, 4 pm

Jan 11, 2023 | EDIH News/Blog

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CeADAR  are pleased to announce our next Tech Talk with Dr Richard Zhang,  Senior Research Scientist at Adobe Research,  on Colourisation and Any-resolution Generation.
Register to join the zoom talk by clicking here

Date: Thursday 19th January, at 4 pm Irish time

Title:
Colourisation and Any-resolution Generation

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Abstract:
Part I: Given a grayscale photograph as input, we attack the problem of hallucinating a plausible color version of the photograph. This problem is clearly underconstrained, so previous approaches have either relied on significant user interaction or resulted in desaturated colorizations. We leverage big data and deep networks to develop (a) a fully automatic approach that produces vibrant and realistic colorizations and (b) a user-guided approach which also incorporates sparse, local user “hints” to an output colorization with a CNN. We validate our method by using real human judge

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Part II: Generative models operate at fixed resolution, even though natural images come in a variety of sizes. As high-resolution details are downsampled away, and low-resolution images are discarded altogether, precious supervision is lost. We argue that every pixel matters and create datasets with variable-size images, collected at their native resolutions. Taking advantage of this data is challenging; high-resolution processing is costly, and current architectures can only process fixed-resolution data. We introduce continuous-scale training, a process that samples patches at random scales to train a new generator with variable output resolutions. We generate higher resolutions images than previously possible, without adding layers to the model. We train on natural image domains including churches, mountains, birds, and faces, and demonstrate arbitrary scale synthesis with both coherent glob

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Speaker Biography:
 Richard Zhang is a Senior Research Scientist at Adobe Research, with interests in computer vision, deep learning, machine learning, and graphics. He obtained his PhD in EECS, advised by Professor Alexei A. Efros, at UC Berkeley in 2018. He graduated summa cum laude with BS and MEng degrees from Cornell University in ECE. He is a recipient of the 2017 Adobe Research Fellowship.
More information can be found on his webpage:

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Idiro Analytics supported my Marie Curie Fellowship award from the very beginning and actively helped me write up my successful application. Their CEO, Aidan Connolly, advocates for AI algorithms that not only optimise performance/accuracy but are also unbiased and efficient from an energy use perspective. As such, Idiro were very supportive of me using my fellowship to advance the auditing of algorithms through model explainability and bias detection whereby simpler, more explainable and energy efficient models could be contrast against more complex but accurate “black box” algorithms. My achievements in the area of advancing Trustworthy AI could not have been realised without Idiro’s support and aligned vision. This made working with them a pleasure and a privilege. Our meetings were always fruitful and constructive. Therefore, I’m delighted that CeADAR has acknowledged Idiro Analytics by presenting them with the 2023 Advancing Trustworthy AI award in recognition of their advocacy and support for my Marie Curie Fellowship success.

Adrian Byrne

Dr. Adrian Byrne, is a Marie Skłodowska-Curie Career-FIT PLUS Fellow at CeADAR, Ireland’s Centre for AI, and also Lead Researcher of the AI Ethics Centre at Idiro Analytics, CeADAR