New AI Research Solved The Problem Photoshop Never Could!

Introducing a new AI relighting technique that allows changing lighting in 2D photographs as easily as in 3D scenes.

Discussing the limitations of changing lighting in 2D photographs compared to 3D scenes, highlighting the use of Photoshop and the inability to easily move light sources.

Explaining the process of transforming a 2D photo into a 3D scene to enable relighting, showcasing the initial challenges and the need for accurate 3D information.

Detailed explanation of the steps involved in relighting a 3D scene after converting a 2D photo, including rendering with new environments and addressing inaccurate 3D information.

Introduction to neural rendering in creating a realistic image from rough 3D renderings, emphasizing the need for training pairs and the role of neural networks.

Discussing the challenges in matching lighting between rough 3D renderings and photos, introducing the concept of adding lights and utilizing neural networks for accurate rendering.

Exploring the flexibility of the new technique in changing lighting conditions from night to daytime, adding or removing lights, and using animated projectors for creative editing.

Highlighting the efficiency of the process with rendering and relighting taking less than a second per photo, emphasizing the speed and innovation of the AI relighting technique.

Speculating on the potential advancements in AI relighting, discussing limitations, artifacts, and the transformative impact on creating editable worlds from static images.