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[R] C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds

[R] C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds

https://preview.redd.it/x1qxpi3p76541.jpg?width=736&format=pjpg&auto=webp&s=7761c84809112c8bda57e24cbbc9810c2870a84d

We introduce a novel conditioning scheme that brings normalizing flows to an entirely new scenario for multi-modal data modeling. We demonstrate our conditioning method to be very adaptable, being applicable to image manipulation, style transfer and multi-modal mapping in a diversity of domains, including RGB images, 3D point clouds, segmentation maps, and edge masks.

Paper PDF: https://arxiv.org/pdf/1912.07009.pdf

Project Website: https://www.albertpumarola.com/research/C-Flow/index.html

submitted by /u/APumarola
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.