Lecture

Synthetic Training Data via Generative Models

Description

This lecture explores the benefits of synthetic data in computer vision, focusing on generative models that mimic real images with low sim2real gap. It covers the challenges of generating diverse datasets and improving transfer performance through techniques like Textual Inversion and SDEdit.

Official source

https://mediaspace.epfl.ch/media/0_g9mnt3gl

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