Details
Description
Instruct-NeRF2NeRF is an AI tool developed by researchers at UC Berkeley that allows for the editing of 3D scenes using simple text instructions. It utilizes a technique called image-conditioned diffusion modeling to iteratively update and optimize a NeRF (Neural Radiance Fields) scene based on the provided instruction. By replacing images in the training dataset with edited versions, the tool gradually refines the edits to produce more consistent and realistic results. Instruct-NeRF2NeRF has shown promising performance in editing real-world scenes and achieving more targeted edits compared to previous methods. This tool can have various applications in fields such as computer graphics, virtual reality, and animation.
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