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Neuralangelo is a 3D reconstruction technology that utilizes neural networks to generate detailed three-dimensional models from images or video data. It leverages advances in artificial intelligence to create accurate, textured models useful for various applications including cultural heritage preservation and virtual reality.
Differentiable rendering is a computational technique that enables the calculation of derivatives of images with respect to scene parameters. It bridges computer graphics and optimization by allowing gradient-based methods to be applied for tasks such as inverse rendering, 3D reconstruction, and machine learning.
Animatable NeRF is an extension of Neural Radiance Fields (NeRF) technology that enables the representation and rendering of dynamic, deformable 3D scenes. It allows for the animation of objects or scenes by modeling changes in shape or pose over time.
Neural volume rendering is a computational technique that leverages neural networks to synthesize images by modeling volumetric scenes. It combines principles from volume rendering and deep learning to generate photorealistic or novel views from sparse input data.