View synthesis with spatial and rotational consistency

    公开(公告)号:US12051175B2

    公开(公告)日:2024-07-30

    申请号:US17097600

    申请日:2020-11-13

    申请人: ADOBE INC.

    摘要: Methods, system, and computer storage media are provided for novel view synthesis. An input image depicting an object is received and utilized to generate, via a neural network, a target view image. In exemplary aspects, additional view images are also generated within the same pass of the neural network. A loss is determined based on the target view image and additional view images and is used to modify the neural network to reduce errors. In some aspects, a rotated view image is generated by warping a ground truth image from an initial angle to a rotated view angle that matches a view angle of an image synthesized via the neural network, such as a target view image. The rotated view image and the synthesized image matching the rotated view angle (e.g., a target view image) are utilized to compute a rotational loss.

    Matrix transpose hardware acceleration

    公开(公告)号:US12125124B1

    公开(公告)日:2024-10-22

    申请号:US18118251

    申请日:2023-03-07

    发明人: Kun Xu Ron Diamant

    摘要: In one example, an apparatus comprises: a buffer memory; and a memory access circuit configured to: fetch, from a first memory, a set of first groups of data elements of a first matrix, each first group of data elements being stored at consecutive memory addresses at the first memory; based on a first configuration, store the set of first groups of data elements at consecutive memory addresses or at non-consecutive memory addresses at the buffer memory; based on a second configuration that defines a memory address offset, fetch a set of second groups of the data elements from the buffer memory, each second group of the data elements being stored at consecutive memory addresses of the buffer memory, each second group being separated by the memory address offset in the buffer memory; and store each fetched second group at consecutive addresses of a destination memory to form a second matrix.