公开(公告)号：US20220292781A1

公开(公告)日：2022-09-15

申请号：US17689851

申请日：2022-03-08

Applicant: Apple Inc.

Inventor： Miguel Angel BAUTISTA MARTIN ,  Nitish SRIVASTAVA ,  Joshua M. SUSSKIND ,  Terrance DEVRIES

IPC: G06T19/00 ,  G06T19/20 ,  G06T15/55

Abstract: Implementations of the subject technology relate to generative scene networks (GSNs) that are able to generate realistic scenes that can be rendered from a free moving camera at any location and orientation. A GSN may be implemented using a global generator and a locally conditioned radiance field. GSNs may employ a spatial latent representation as conditioning for a grid of locally conditioned radiance fields, and may be trained using an adversarial learning framework. Inverting a GSN may allow free navigation of a generated scene conditioned on one or more observations.

公开(公告)号：US20220108212A1

公开(公告)日：2022-04-07

申请号：US17308033

申请日：2021-05-04

Applicant: Apple Inc.

Inventor： Shuangfei ZHAI ,  Walter A. TALBOTT ,  Nitish SRIVASTAVA ,  Chen HUANG ,  Hanlin GOH ,  Joshua M. SUSSKIND

IPC: G06N20/00 ,  G06N5/04 ,  G06F17/16 ,  G06F40/58 ,  G06T3/40

Abstract: Attention-free transformers are disclosed. Various implementations of attention-free transformers include a gating and pooling operation that allows the attention-free transformers to provide comparable or better results to those of a standard attention-based transformer, with improved efficiency and reduced computational complexity with respect to space and time.