3a1b2c3/seeingSpace
A lightfield botanist's guide to neural rendering
This project offers an explanation and practical guide to Neural Radiance Fields (NeRFs), a new way to create photorealistic 3D environments from standard images or videos. It takes in multiple 2D images or video frames of a scene and outputs an interactive 3D model that you can view from any angle. This resource is for computer graphics artists, 3D modelers, virtual reality developers, and anyone interested in cutting-edge 3D scene reconstruction.
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Use this if you want to understand, learn, and apply neural rendering techniques to create realistic 3D scenes from ordinary 2D media.
Not ideal if you are looking for a simple drag-and-drop tool without any technical learning curve, as this delves into the underlying concepts and frameworks.
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Jupyter Notebook
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Last pushed
Sep 25, 2023
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