Imagine performing a sweep around an object with your smartphone and getting a realistic, fully editable 3D model that you can view from any angle -- this is fast becoming reality, thanks to advances in AI. Researchers have unveiled new AI technology for doing exactly this.
Soon, rather than merely taking 2D photos, everyday consumers will be able to take 3D captures of real-life objects and edit their shapes and appearance as they wish, just as easily as they would with regular 2D photos today.
In a new paper presented at the annual flagship international conference on AI research, the Conference on Neural Information Processing Systems in New Orleans, Louisiana, researchers demonstrated a new technique called Proximity Attention Point Rendering that can turn a set of 2D photos of an object into a cloud of 3D points that represents the object's shape and appearance.
One of the biggest challenges in 3D is on how to represent 3D shapes in a way that allows users to edit them easily and intuitively. One previous approach, known as neural radiance fields , does not allow for easy shape editing because it needs the user to provide a description of what happens to every continuous coordinate.
In recognition of this technological leap, the paper was awarded with a spotlight at the NeurIPS conference, an honour reserved for the top 3.6% of paper submissions to the conference.
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