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This paper describes an attempt to transform a 3D model of a person's face to produce an intended change of impression. 3D shape and surface texture of faces are represented by high-dimensional ...

Nvidia Research and others collaborated to create the DIB-R framework that can predict 3D properties from 2D images to create 3D models.

Now, I find the inverse of the homography matrix which gives me the homography between the 3D world points to 2D image points. After that I multiply the image points [x, y, 1]t with the inverse ...

Researchers at NVIDIA have come up with a clever machine learning technique for taking 2D images and fleshing them out into 3D models.

Generating 3D images of complex objects conditionally from a few 2D views is a difficult synthesis problem, compounded by issues such as domain gap and geometric misalignment. For instance, a unified ...

Researchers at Microsoft have developed an AI model that converts 2D images into 3D shapes. They say it's superior to previous techniques.

Differentiation and transformation of untransformed and ts-Src-transformed canine kidney MDCK cells in 2D and 3D environment were investigated using microarray technique, RT-PCR, confocal ...