Category: CVPR ‘22

CVPR ‘22, Part IV: Synthetic Data Generation

We continue the long series of reviews for CVPR 2022 papers related to synthetic data. We’ve had three installments so far, devoted to new datasets, use cases for synthetic data, and a very special use case: digital humans. Today, we will discuss papers that can help with generating synthetic data, so expect a lot of 3D model reconstruction, new generative models, especially in 3D, and generally a lot of CGI-related goodness (image generated by DALL-E-Mini by craiyon.com with the prompt “robot designer making a 3D mesh”).

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CVPR ‘22, Part III: Digital Humans

Last time, we talked about new use cases for synthetic data, from crowd counting to fractal-based synthetic images for pretraining large models. But there is a large set of use cases that we did not talk about, united by their relation to digital humans: human avatars, virtual try-on for clothes, machine learning for improving animations in synthetic humans, and much more. Today, we talk about the human side of CVPR 2022, considering two primary applications: conditional generation for applications such as virtual try-on and learning 3D avatars from 2D images (image generated by DALL-E-Mini by craiyon.com with the prompt “virtual human in the metaverse”).

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CVPR ‘22, Part II: New Use Cases for Synthetic Data

Last time, we started a new series of posts: an overview of papers from CVPR 2022 that are related to synthetic data. This year’s CVPR has over 2000 accepted papers, and many of them touch upon our main topic on this blog. In today’s installment, we look at papers that make use of synthetic data to advance a number of different use cases in computer vision, along with a couple of very interesting and novel ideas that extend the applicability of synthetic data in new directions. We will even see some fractals as synthetic data! (image source)

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CVPR ‘22, Part I: New Synthetic Datasets

CVPR 2022, the largest and most prestigious conference in computer vision and one of the most important ML venues in general, has just finished in New Orleans. With over 2000 accepted papers, reviewing the contributions of this year’s CVPR appears to be a truly gargantuan task. Over the next series of blog posts, we will attempt to go over the most interesting papers directly related to our main topic: synthetic data. Today, I present the first but definitely not the last installment devoted to papers from CVPR 2022.

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Synthesis AI speaking at the MetaBeat conference on Oct 4th

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