Neural Radiance Fields
Neural Radiance Fields
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As a capstone project for my Machine Perception Project, I was tasked with implementing a Neural Radiance Field (NerF) model for a Lego Excavator model.
Neural Radiance Fields (NeRF) is a technique for synthesizing novel views of a scene from a set of input images. It uses a deep neural network to model the volumetric density and color of a 3D scene, which can then be rendered from any viewpoint. NeRF has been shown to produce high-quality results on a variety of scenes and is particularly well-suited for capturing fine details and complex lighting effects.
As a capstone project for my Machine Perception Project, I was tasked with implementing a Neural Radiance Field (NerF) model for a Lego Excavator model.
Neural Radiance Fields (NeRF) is a technique for synthesizing novel views of a scene from a set of input images. It uses a deep neural network to model the volumetric density and color of a 3D scene, which can then be rendered from any viewpoint. NeRF has been shown to produce high-quality results on a variety of scenes and is particularly well-suited for capturing fine details and complex lighting effects.
This animation below shows the training of the model with increasing epochs.
This animation below shows the training of the model with increasing epochs.
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